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Journal articles on the topic 'Obstacle sensor'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Lee, Chao Yang, Fu Tian Lin, and Chu Sing Yang. "Mobile Sensor Navigation in Wireless Hybrid Sensor Networks." Advanced Materials Research 694-697 (May 2013): 1013–16. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1013.

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With recent advances in mobile platforms, hybrid sensor networks are becoming very popular technology. Mobile sensors can dynamically move to monitor uncovered areas and thus improve the coverage quality. Due to the obstacles may exist in the monitor fields, mobile sensors need to find an obstacle-free moving path for mobile sensor movement. However, in practical, sensors are difficult to obtain the geographic information of obstacles. Additionally, sensors have resource constraints. Hence, this work proposed an obstacle-free and geographic-free dispatch scheme (OGDS) for mobile sensor navigat

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Wu, Jianhong. "Research on Obstacle Avoidance Control of Intelligent Robots Based on Multi-Sensor Fusion." Highlights in Science, Engineering and Technology 114 (October 31, 2024): 24–30. http://dx.doi.org/10.54097/r4qytk13.

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When the obstacle avoidance control of an intelligent robot only uses a single sensor, there will be many limitations. Using multi-sensor fusion for obstacle avoidance control can combine the characteristics of different sensors to enhance the robot’s obstacle avoidance capabilities. This article analyzes the characteristics of ultrasonic sensors, LiDAR, visual sensors, and infrared sensors, showcasing the development of multi-sensor fusion through existing robot applications based on multi-sensor fusion. It demonstrates the impact of control systems combining data from multiple different type

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Kumbhar, Prof N. A. "Obstacle Avoiding Car." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 5806–9. http://dx.doi.org/10.22214/ijraset.2023.53042.

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Abstract: This research discusses an ultrasonic sensor-controlled robot vehicle that can avoid obstacles. The robot is constructed with an ultrasonic sensor, and an Arduino microcontroller is used to operate it. Ultrasonic sensor mounted on the robot vehicle's front end. Through sensors that are attached on the robot, the sensor receives data from its surroundings. The sensor detects the obstruction and changes its course to choose a path devoid of obstacles. The sensor will be send the data to the controller is compared with controller to decide the movement of the robot Wheel. The robot whee

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Zhao, Jianwei, Jianhua Fang, Shouzhong Wang, Kun Wang, Chengxiang Liu, and Tao Han. "Obstacle Avoidance of Multi-Sensor Intelligent Robot Based on Road Sign Detection." Sensors 21, no. 20 (2021): 6777. http://dx.doi.org/10.3390/s21206777.

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The existing ultrasonic obstacle avoidance robot only uses an ultrasonic sensor in the process of obstacle avoidance, which can only be avoided according to the fixed obstacle avoidance route. Obstacle avoidance cannot follow additional information. At the same time, existing robots rarely involve the obstacle avoidance strategy of avoiding pits. In this study, on the basis of ultrasonic sensor obstacle avoidance, visual information is added so the robot in the process of obstacle avoidance can refer to the direction indicated by road signs to avoid obstacles, at the same time, the study added

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Yamamoto, Motoji, Nobuhiro Ushimi, and Akira Mohri. "Development of Sensor-Based Navigation for Mobile Robots Using Target Direction Sensor." Journal of Robotics and Mechatronics 11, no. 1 (1999): 39–44. http://dx.doi.org/10.20965/jrm.1999.p0039.

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Sensor-based navigation used a target direction sensor for mobile robots among unknown obstacles in work space is discussed. The advantage of target direction information is robustness of measurement error for online navigation, compared to robot location information. Convergence of navigation using target direction information is discussed. An actual sensor system using two CdS sensors to measure target direction is proposed. Using target direction information, we present a new sensor based navigation algorithm in unknown obstacle environment. The navigation algorithm is based on target direc

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Yanmida, Dele Zacheaus, Abubakar Surajo Imam, and Sabur Ajibola Alim. "Obstacle Detection and Anti-Collision Robot Using Ultrasonic Sensor." ELEKTRIKA- Journal of Electrical Engineering 22, no. 1 (2023): 11–14. http://dx.doi.org/10.11113/elektrika.v22n1.404.

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Obstacle detection can be considered central and paramount in designing mobile robots. This technique enables mobile robots equipped with sensors to transverse and maneuver freely in an environment preventing damage as a result of a collision with obstacles in its path. Several systems with different approaches have been developed for the anti-collision of a robot with obstacles. The approach to Sensor selection, path planning, and navigation processes determines the operation of such a system and differs from one another. This paper presents a low-cost ultrasonic distance sensor for obstacle

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Ma, Jiajun. "Obstacle Detection and Avoidance Using Ultrasonic Sensors in Autonomous Robots." Highlights in Science, Engineering and Technology 71 (November 28, 2023): 68–78. http://dx.doi.org/10.54097/hset.v71i.12378.

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Autonomous robots have recently gained traction in a variety of industries due to their efficiency and possible cost savings. However, assuring the safety and dependability of these robots is critical, especially in terms of obstacle detection and avoidance. Ultrasonic sensors, which are known for their low cost, user-friendliness, and dependability, have emerged as a popular and practical solution to this problem. In this paper, the author offer a framework for using numerous ultrasonic sensors in autonomous robots to detect and avoid obstacles.In our approach, real-time sensor data processin

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Wani, Swapnil B., Ramiz Abrar Ahmed Shaikh, and Amol A. Nagaokar. "Electronic Blind Stick." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40484.

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Blind stick is an innovative stick designed for visually disabled people for improved navigation. We here propose an advanced blind stick that allows visually challenged people to navigate with ease using advanced technology. The blind stick is integrated with ultrasonic sensor along with light and water sensing. Our proposed project first uses ultrasonic sensors to detect obstacles ahead using ultrasonic waves. On sensing obstacles the sensor passes this data to the microcontroller. The microcontroller then processes this data and calculates if the obstacle is close enough. If the obstacle is

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He, Hui Juan, De Zhang Xu, and Lei Wang. "Research of Ultrasonic Used in Mobile Robot Obstacle Detection." Applied Mechanics and Materials 556-562 (May 2014): 2563–66. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2563.

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Mobile robot is an important branch in the technological field of the robot.It refers to computer science,automation,mechanism,electronic science etal .In the mobile robot technology research,the mobile robot obstacle detection is one important research aspect of the robot.In this article,by the motor of Shanghai Ingenious Automation Co,Ltd, at first, it measured the distance of the obstacle in front of the robot by using of the ultrasonic sensor and the related software installed inside the robot, analyzed the reasons for the error; and then took the obstacles avoiding experiments by using of

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Ramli, Muhammad Faiz Bin, Syariful Syafiq Shamsudin, and Ari Legowo. "Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 2 (2017): 441. http://dx.doi.org/10.11591/ijeecs.v8.i2.pp441-449.

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<p class="Abstract">Achieving a robust obstacle detection system for small UAV is very challenging. Due to size and weight constraints, very limited detection sensors can be equipped in the system. Prior works focused on a single sensing device which is either camera or range sensors based. However, these sensors have their own advantages and disadvantages in detecting the appearance of the obstacles. In this paper, combination of both sensors based is proposed for a small UAV obstacle detection system. A small Lidar sensor is used as the initial detector and queue for image capturing by

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Mester, Gyula. "Intelligent wheeled mobile robot navigation." Jelenkori Társadalmi és Gazdasági Folyamatok 5, no. 1-2 (2010): 258–64. http://dx.doi.org/10.14232/jtgf.2010.1-2.258-264.

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The paper deals with the wireless sensor-based remote control of mobile robots motion in an unknown environment with obstacles using the Sun SPOT technology and gives the fuzzy velocity control of a mobile robot motion in an unknown environment with obstacles. When the vehicle is moving towards the target and the sensors detect an obstacle, an avoiding strategy and velocity control are necessary. We proposed the wireless sensor-based remote control of mobile robots motion in an unknown environment with obstacles using the Sun SPOT technology and a fuzzy reactive navigation strategy of collisio

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Tsuchiya, Takahiro, and Ryosuke Masuda. "Allocation of Proximity Sensors for Obstacle Detection of a Robot Manipulator." Journal of Robotics and Mechatronics 9, no. 6 (1997): 482–89. http://dx.doi.org/10.20965/jrm.1997.p0482.

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In this paper, we discuss the sensor allocation problem in detecting obstacles in robot manipulators. The detection of obstacles in a work area is important for safety purposes and for the efficiency of robot control. Therefore, it is necessary to allocate the sensors properly on the links in a robot manipulator. Here, we propose two types of effective sensor allocation methods. One is based on the joint coordinates of the robot, and the other is based on the orthogonal work space. In addition, we show the allocation of additional sensors based on the quantitative conditions of the robot and i

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Pebrianti, Dwi, Wong Jack Kee, Luhur Bayuaji, and Achmad Solichin. "Navigating Urban Skies: Obstacle Avoidance Strategies for Quadrotor MAVs." Journal of Physics: Conference Series 2866, no. 1 (2024): 012039. http://dx.doi.org/10.1088/1742-6596/2866/1/012039.

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Abstract Micro Aerial Vehicles (MAVs) has gained attentions since more than two decades ago starting from the applications in air combat up to civil applications such as packet deliveries, environmental monitoring, and surveillance. In an environment such as cities that grows denser, navigation and control for drones becomes challenging to ensure safe navigation around buildings and other obstacles. This study proposes an approach for obstacle avoidance for MAVs by using ultrasonic sensors. Four sensors are strategically positioned to cover the front, right, back, and left directions. Addition

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Gaurav, Ahire. "Robot For Railway Track Monitoring with Obstacle Detection." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49983.

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Abstract— Railway safety is a major concern due to the risk of accidents caused by track cracks and obstacles on the railway line. Manual inspection of tracks is time-consuming and may not always be effective in preventing accidents. This proposed work aims to develop a low-cost, IoT-based system using the ESP32 microcontroller to detect cracks in railway tracks and identify obstacles on the track in real time. The system uses sensors such as ultrasonic sensors and IR sensors to detect track damage and any objects blocking the railway path. When a crack or obstacle is detected, the system imme

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Kumar, Prabhat, Sneha Mishra, Surjit Singh, Srete Nikolovski, and Mohamed Louzazni. "Localization in 3D Wireless Sensor Networks with Obstacle Consideration." Journal of Sensors 2024 (January 24, 2024): 1–11. http://dx.doi.org/10.1155/2024/3426319.

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Wireless sensor network (WSN) refers to the network formed by sensor nodes for communicating sensed data over the wireless medium. These sensor nodes are mostly deployed randomly in the target area, and hence estimating the coordinates of these sensor nodes through the localization process is an important activity. Majority of the localization algorithms existing in the literature assume the target area to be an obstacle-free 2D terrain. However, such algorithms are not suitable for real-life scenarios where WSNs are actually deployed on 3D terrains that may also have obstacles that hinder the

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Lavanya, Mrs A. S., B. Madhusudhan, D. Saketh, K. Shabrin, and S. Sajid. "Mean_Based Approach to Omnidirectional Pathfinding Algorithm Using Single Ultrasonic Sensor for Robotic Car." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 2820–24. https://doi.org/10.22214/ijraset.2025.67921.

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Abstract: For design and testing the smart pathfinding system for a robotic car using ultrasonic sensor. In this project we are using Q learning algorithm which means it can be created own path itself. The proposed algorithm works in two phases: normal detection and intensive detection. In the normal detection phase, the sensor scans for obstacles directly in front of the car. In the intensive detection phase, a servo motor moves the sensor to scan a wider area, acting like multiple sensors combined. This method improves obstacle detection and Accuracy. The system is built on an Arduino UNO pl

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Turnip, Mega Tiarma Br, Anak Agung Ngurah Gunawan, I. Gusti Agung Putra Adnyana, I. Wayan Supardi, and Ni Luh Putu Trisnawati. "Obstacle Detection Stick for the Visually Impaired Using HC-SR04 Ultrasonic Sensor and Arduino Nano Microcontroller-based Raindrop Sensor." Journal of Engineering Research and Reports 25, no. 3 (2023): 1–6. http://dx.doi.org/10.9734/jerr/2023/v25i3886.

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Aims: With the stick, blind people can not only project their goals well, but also anticipate obstacles from the front, right, left, and unexpected puddles below without physical contact. Study Design: Obstacle Detection Stick for the Visually Impaired Using HC-SR04 Ultrasonic Sensor and Arduino Nano Microcontroller-Based Raindrop Sensor. Methodology: Calibration is performed by comparing the output value of the HC-SR04 ultrasonic sensor and the manual meter. The calibrated parameters are the distance of the obstacle at the front, left and right positions. The relationship between

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Reddy, Mr M. Sreenivasulu, G. Siva Shankar Reddy, B. Akhileswari, L. Navitha, and Krishnaveni Krishnaveni. "Arduino Radar Model with Auto Detection and Target Neutralization." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43825.

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Arduino Radar Model With Auto Detection and Target Neutralization develops a real-time obstacle detection system using an Arduino, ultrasonic sensors, a servo motor, and a laser module. The system scans a 180-degree area like a radar, detecting obstacles and activating a laser when they are too close. Sensor data is sent to a Processing-based platform, which displays a live radar-like interface showing detected objects. The dual-sensor setup improves accuracy and coverage, making the system reliable for applications in security, robotics, and automation. By combining low-cost hardware with sma

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Portugal, Marta, and André C. Marta. "Optimal Multi-Sensor Obstacle Detection System for Small Fixed-Wing UAVs." Modelling 5, no. 1 (2023): 16–36. http://dx.doi.org/10.3390/modelling5010002.

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The safety enhancement of small fixed-wing UAVs regarding obstacle detection is addressed using optimization techniques to find the best sensor orientations of different multi-sensor configurations. Four types of sensors for obstacle detection are modeled, namely an ultrasonic sensor, laser rangefinder, LIDAR, and RADAR, using specifications from commercially available models. The simulation environment developed includes collision avoidance with the Potential Fields method. An optimization study is conducted using a genetic algorithm that identifies the best sensor sets and respective orienta

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M. Amirul Ummah F.A.B. "Rancang Bangun Robot Penghindar Halangan Dengan Metode PID." Jurnal Teknik Mesin, Industri, Elektro dan Informatika 2, no. 3 (2023): 212–22. http://dx.doi.org/10.55606/jtmei.v2i3.2352.

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The development of increasingly advanced science and technology has produced many innovations in meeting the needs of mankind. One area that is developing comprehensively is robotic technology, one of which is obstacle avoidance robots which is an example of a device used to improve the safety and effectiveness of human work. This study aims to design and develop obstacle avoidance robots using the PID (Proportional, Integral, and Derivative) method and ultrasonic sensors. Robots are designed to automatically detect and avoid obstacles in their environment by using ultrasonic sensors to measur

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Kamarulbaharin, Z. A., and N. Rahmat. "Influence of Acoustical Absorbing Material on the Obstacle Detection Angle of an Ultrasonic Sensor." Applied Mechanics and Materials 393 (September 2013): 988–92. http://dx.doi.org/10.4028/www.scientific.net/amm.393.988.

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Navigation aid is important for the visually impaired person to travel safely. A white cane is normally used to detect obstacles in the persons path but it is limited in its detecting ability as it can only detect obstacles around the length of the cane and is unable to detect moving or overhanging objects. Many types of navigational aids are being developed using ultrasonic sensors to assist the visually impaired to detect obstacles and they are known as Electronic Travel Aids. This paper is focused on studying the influence of acoustical absorbing material on the obstacle detection angle of

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Sankaranarayanan R, Manjushree R, Harshini P, and Jeeshitha G V. "Obstacle Detection For Visually Impaired." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 04 (2024): 1200–1203. http://dx.doi.org/10.47392/irjaem.2024.0160.

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The paper examines innovative obstacle-detection solutions designed for visually impaired people who do not rely on traditional sensors and recognize the challenges they face when navigating their environment independently. It delves into techniques leveraging alternative sensory modalities such as auditory and tactile feedback, prioritizing user experience and safety. Evaluation criteria encompass effectiveness, ease of use, and affordability, during discussions involve adapting existing infrastructure for tactile navigation and collaboration with guide animal organizations to devise comprehe

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A S H, Afreen Fathima, Kirthana R, Nishandhine U, and Elavarasi J. "Autonomous Robot Navigation Using Adaptive Potential Field." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–7. http://dx.doi.org/10.55041/ijsrem37250.

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This work presents a novel approach to mobile robot autonomous navigation, utilizing enhanced artificial potential fields in conjunction with path planning,obstacle avoidance and SLAM . In traditional adaptive potential fields, which integrate sensor data to enable robots to navigate safely and efficiently through various environments. The robot's perception of its surroundings, obtained through sensors like cameras, ultrasonic devices, is processed to create a dynamic potential field that reflects the spatial distribution of obstacles, goals, and other relevant features.We propose the design

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Mohd Yusof, Zulkhairi, Md Masum Billah, Kushsairy Kadir, et al. "Design and Analysis of a Smart Blind Stick for Visual Impairment." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (2018): 848. http://dx.doi.org/10.11591/ijeecs.v11.i3.pp848-856.

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For a long time, visually impaired person uses a white cane to guide their way when travel outside. The white cane has been useful for the blinds in improving their mobility but unfortunately the white cane has its limitation. One of the shortcomings of the white cane is that, it could only detect the obstacles that are within the contact ranges of the white cane. This problem sometimes could cause the blind person to be in trouble because of insufficient time to detect and warn new obstacles in front of the blind person. This research proposes a walking stick system that has two functions; to

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Zulkhairi, Mohd Yusof, Masum Billah Md, Kadir Kushsairy, et al. "Design and Analysis of a Smart Blind Stick for Visual Impairment." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (2018): 848–56. https://doi.org/10.11591/ijeecs.v11.i3.pp848-856.

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For a long time, visually impaired person uses a white cane to guide their way when travel outside. The white cane has been useful for the blinds in improving their mobility but unfortunately the white cane has its limitation. One of the shortcomings of the white cane is that, it could only detect the obstacles that are within the contact ranges of the white cane. This problem sometimes could cause the blind person to be in trouble because of insufficient time to detect and warn new obstacles in front of the blind person. This research proposes a walking stick system that has two functions; to

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S Sastry, Dr Anitha. "Gesture Based Wheel Chair Control." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48216.

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Abstract— This paper presents the design and development of a gesture-controlled smart wheelchair system intended for individuals with severe physical impairments. The proposed system utilizes head movements and eye blink detection as primary inputs to enable hands-free navigation. An accelerometer sensor interprets directional head gestures, while an infrared sensor detects intentional eye blinks for auxiliary control functions. To enhance safety, ultrasonic sensors are integrated to detect obstacles and edges, with real-time alerts delivered through a buzzer, vibration motor, and a 16x2 LCD

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Arnab, Saha. "Obstacle Avoidance & Light Following Robot." International Journal of Advances In Scientific Research and Engineering (IJASRE) 3, no. 4 (2017): 162–75. https://doi.org/10.5281/zenodo.583843.

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<em>Obstacle avoidance & light following robot can be used for Industrial purpose & Military operation. The major components include an Arduino Uno R3, Servo motor, BO motor, L298N motor driver, LDR module, Ultrasonic HCSR-04 sensor & holder, Chassis body, Battery & battery holder. The system is controlled by the Arduino Uno R3 module which is an advance version of a microcontroller and a part of embedded system. In this work, we have designed a robot, which is compact, autonomous and fully functional. It is a proposed model which can be used in such an environment, which may b

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Shchegoleva, L. V., and A. S. Taritsyna. "Development of an Algorithm for Determining the Class of an Obstacle in the Process of its Interaction with the Manipulator." Programmnaya Ingeneria 15, no. 10 (2024): 532–38. http://dx.doi.org/10.17587/prin.15.532-538.

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The article discusses the problem of determining the nature of an obstacle using a force sensor for terrain mapping. Three classes of objects have been introduced: the first class is "static" obstacles, the second class is "moving" obstacles, the third class is "unstable" obstacles. To conduct experiments, a simulation system was built in the Gazebo modeling environment, including a manipulator with the ability to horizontally move a probe with a force sensor and a set of obstacles corresponding to three classes of obstacles. All experiments were carried out using the ROS framework, the Gazebo

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Vollmerhausen, Richard H. "Small Obstacle Avoidance Sensor." Scientific World Journal 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/604538.

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This paper describes a laser ranging sensor that is suitable for applications like small unmanned aerial vehicles. The hardware consists of a diode emitter array and line-scan charge coupled devices. A structured-light technique measures ranges up to 30 meters for 64 field angles in a 90 degree field of view. Operation is eye safe, and the laser wavelength is not visible to night vision goggles. This paper describes a specific sensor design in order to illustrate performance for a given package size.

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Kucsera, Peter. "Indoor Mobile Robot Navigation and Obstacle Avoidance Using a 3D Camera and Laser Scanner." Academic and Applied Research in Military and Public Management Science 15, no. 1 (2016): 51–59. http://dx.doi.org/10.32565/aarms.2016.1.5.

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Thanks to the developing sensor technology in mobile robot navigation and obstacle avoidance there are new and affordable solutions which can be used to accomplish smooth, safe and reliable robot movement in an indoor environment. A laser scanner is a commonly used sensor for detecting obstacles as well as for navigation, but a laser scanner is unable to detect all the different obstacles and terrain features by itself. In this article complementary sensors are examined, on a real mobile robot platform. Communication between the sensors and the controller and the basic control possibilities ar

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Wen, Zi Mu, Shu Dao Zhou, and Min Wang. "Fuzzy Control for the Obstacle Avoidance of a Quadrotor UAV." Applied Mechanics and Materials 775 (July 2015): 307–13. http://dx.doi.org/10.4028/www.scientific.net/amm.775.307.

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To solve the presence of the phantom phenomenon when single ultrasonic sensor detects obstacles, this paper proposes a multi-ultrasonic sensors design using grouping cycle emission. Using the fuzzy control algorithm in the obstacle avoidance simulation, the quadrotorflies through an unknown environment. The simulation results show that the algorithm can meet the requirements of the quadrotor obstacle avoidance , and have the characteristics of real-time and accuracy , provide the foundation for further practical application.

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Sukri, Hanifudin, Deni Tri Laksono, Dedi Tri Laksono, and Miftachul Ulum. "Ultrasonic Signal Implementation in Arduino-Based Obstacle Robot Control System." E3S Web of Conferences 328 (2021): 02008. http://dx.doi.org/10.1051/e3sconf/202132802008.

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The results of the distance calculation used to control the movement of the robot, hanse the robot is able to avoid unknown obstacles. This obstacle robot divided into 3 parts, namely Arduino Uno as a controller, L298N driver as a motor/wheel controller and ultrasonic sensor HC-SR04 as a sending and receiving device for ultrasonic signals. The ultrasonic sensor design on the obstacle robot placed at the front of the robot with the obstacle position in front. From the data analysis, the obstacle robot can determine the accuracy level of the detected distance and can stop according to the detect

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Ekta, Manu Kumar, Dhawan Yash, and Kumar Saini Raj. "OBSTACLE AVOIDING ROBOT." International Journal of Engineering Sciences & Emerging Technologies 10, no. 6 (2021): 137–39. https://doi.org/10.5281/zenodo.5139565.

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<em>The detection of obstacle and its avoidance is considered to be the most important issue in designing of mobile robots. This technology is used to provide senses to the robots with which they traverse in the unknown environment without creating damage to themselves. In this there is a robotic car that is based on the Arduino-Uno (microcontroller) and consists of sensors that detect presence of obstacles. The Arduino board is chosen as the platform and the programming is done by using Arduino software. The sensor i.e. ultrasonic is highly accurate in detecting obstacles in the surrounding.<

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KUMAR, ARUDINO BASED OBSTACLE AVOIDING ROBOT CAR P. VAYUNANDA SAI. "ARUDINO BASED OBSTACLE AVOIDING ROBOT CAR P VAYUNANDA SAI KUMAR." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33037.

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This project involves the design and implementation of an intelligent obstacle-avoiding robot car. The objective of this project is to implement a robot car, which while moving should have the ability to detect obstacles in its path and change direction where obstacles are present without any form of external influence. The new direction to be taken to avoid collision is the direction that has the most distance between the obstacle and the sensor and this is determined by the robot based on sensor inputs. This implementation was done using an ultrasonic wave sensor, which measures distance by

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M. Keong, L., A. S. Jamaludin, M. N. M. Razali, A. N. S. Z. Abidin, and M. R. M. Yasin. "Modelling of PID Speed Control Based Collision Avoidance System." Journal of Modern Manufacturing Systems and Technology 4, no. 2 (2020): 66–72. http://dx.doi.org/10.15282/jmmst.v4i2.5182.

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Nowadays, the vehicle’s accident occurring rate is high in Malaysia especially during the period of festival celebrations. Thus, it is necessary to develop a low cost and high effectiveness collision avoidance system that is affordable for every vehicles. Therefore, this research focus on to design and model a collision avoidance system that can slow down when approaching obstacles. The effectiveness of this collision avoidance system is evaluated based on its effectiveness of slowing down when it is approaching obstacles as well as when there is sudden obstacles appear in front of it. In this

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Tesfaye, Anteneh. "Enhancing Mobility and Safety: A Smart Walking Cane for Visually Impaired Individuals with Ultrasonic Sensor, Infrared, and GSM Module." Journal of Computational Science and Data Analytics 01, no. 1 (2024): 59–74. http://dx.doi.org/10.69660/jcsda.01012404.

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Traditionally, visually impaired individuals have relied on conventional walking canes to detect obstacles in their path. However, these canes have limitations in terms of efficiency. This paper focuses on the design and implementation of an electronic travel aid for visually impaired pedestrians, utilizing ultrasonic sensors, infrared technology, and a GSM module. The smart cane integrates ultrasonic sensors and IR technology to detect obstacles using ultrasonic waves and IR signals. When obstacles are detected, the sensor relays this information to a microcontroller (Atmega328P). The microco

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Chen, Luyou. "Dynamic Obstacle Avoidance Technology Based on Multi-Sensor Fusion in Autonomous Driving." Applied and Computational Engineering 111, no. 1 (2024): 131–40. http://dx.doi.org/10.54254/2755-2721/111/2024ch0115.

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With the booming development of artificial intelligence and sensor technology, various types of devices are widely used in daily life and industry. This paper reviews the current state and prospects of multi-sensor fusion technology for dynamic obstacle avoidance in autonomous systems. The purpose of this paper is to discuss the application status and future development direction of multi-sensor fusion technology in dynamic obstacle avoidance. By analyzing the current research results and technical challenges, this paper will summarize how multi-sensor fusion technology can improve the perform

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Divakar, Suhas. "ATmega8 Based Obstacle Avoiding Helicopter." Advanced Materials Research 403-408 (November 2011): 4888–92. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4888.

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This paper presents a way to build an autonomous obstacle avoiding helicopter. This helicopter is built on an ATmega8 microcontroller which has been programmed using Arduino. It basically has 3 infra-red sensors (LM358), one in- front, one at the left and one at the right. It has 3 DC motors, two at the top and one at the rear. There are 2 H-bridges (L293D) mounted on it to provide the driving mechanisms for the motors. There are three DC motors with rated voltage of 3.7V used. Once the helicopter has been turned on, it rises about 10cms above the ground and starts moving straight until an obs

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Zhang, Hualei, and Mohammad Asif Ikbal. "Unmanned vehicle dynamic obstacle detection, tracking and recognition method based on laser sensor." International Journal of Intelligent Computing and Cybernetics 14, no. 2 (2021): 239–51. http://dx.doi.org/10.1108/ijicc-10-2020-0143.

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PurposeIn response to these shortcomings, this paper proposes a dynamic obstacle detection and tracking method based on multi-feature fusion and a dynamic obstacle recognition method based on spatio-temporal feature vectors.Design/methodology/approachThe existing dynamic obstacle detection and tracking methods based on geometric features have a high false detection rate. The recognition methods based on the geometric features and motion status of dynamic obstacles are greatly affected by distance and scanning angle, and cannot meet the requirements of real traffic scene applications.FindingsFi

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Salman, Muhammad, Hamza Khan, and Min Cheol Lee. "Perturbation Observer-Based Obstacle Detection and Its Avoidance Using Artificial Potential Field in the Unstructured Environment." Applied Sciences 13, no. 2 (2023): 943. http://dx.doi.org/10.3390/app13020943.

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Different methodologies for manipulators have been proposed and applied to robot obstacle detection and avoidance in unstructured environments. These methods include different real-time sensors, observer-based algorithms, and path planning using genetic algorithms. However, sensor design integration is complex and considerably expensive. Moreover, the observer algorithm requires complete system dynamics information, which is difficult to derive. In this regard, genetic algorithms are typically considered slow and difficult to optimize. Accordingly, this study proposes a sensor-less obstacle de

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Baasandorj, Bayanjargal, Aamir Reyaz, Park Joung Ho, Cha Wang Cheol, Deok Jin Lee, and Kil To Chong. "A Mobile Robot Obstacle Avoidance Using Fuzzy Logic and Model Predictive Control." Applied Mechanics and Materials 548-549 (April 2014): 922–27. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.922.

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This paper presents a method of solving the problem of mobile robot Obstacle avoidance and path planning in an unknown dynamic environment. A linear model of the two-wheeled nonholonomic robot controlled using Model predictive control controller. For obstacle avoidance Fuzzy logic control is used. The ultrasonic sensors are used for positioning and identifying an obstacle. The proposed method is successfully tested in simulations. Obstacle avoiding technique is very useful in real life, this technique can also use as a vision belt of blind people by changing the IR sensor by a kinetic sensor ,

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Kato, Kohei, Hiroaki Seki, and Masatoshi Hikizu. "3-D Obstacle Detection Using Laser Range Finder with Polygonal Mirror for Powered Wheelchair." International Journal of Automation Technology 9, no. 4 (2015): 373–80. http://dx.doi.org/10.20965/ijat.2015.p0373.

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Because a large number of accidents with electric wheelchairs are due to operational errors, steering assistance systems for wheelchairs have been studied in a variety of ways. One of the basic systems is 3-D obstacle detection around the wheelchair. One method uses a stereo camera for detecting obstacles by image processing. However, this method is less reliable under varying light conditions. A laser range sensor is another useful device for obstacle detection. However, it requires a complex swinging mechanism for 3-D positioning which makes the measuring time too long. Therefore, this paper

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Roja D, Venkata Ramana Pati, Pravallika K, ,. Chanikya Lakshman Kumar M, Jaswanth Chowdary K. "Navigating the Unseen: Ultrasonic Technology for Blind Navigation." International Journal for Modern Trends in Science and Technology 10, no. 02 (2024): 25–31. http://dx.doi.org/10.46501/ijmtst1002004.

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Navigation for the visually impaired is a critical aspect of ensuring independence and safety. This project introduces an "Ultrasonic Navigation System for the Blind" using ultrasonic sensors and a buzzer. The system aims to assist individuals with visual impairments by detecting obstacles in their path using ultrasonic sensors and providing feedback through a buzzer. This integration of sensors and an audible alert system offers an intelligent solution for enhancing mobility and reducing obstacles for the blind.On the other hand, and in order to reduce navigation difficulties of the blind, an

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Fei, Ji You, Hua Li, and Bin Gao. "Based on the Single Chip Microcomputer Atmega168 Robot Control System Design." Applied Mechanics and Materials 341-342 (July 2013): 700–703. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.700.

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based on the single chip microcomputer atmega168 robot control system design This paper introduces using micro controller, many sensors, such as ultrasonic distance measuring sensor, infrared range sensor, infrared obstacle avoidance sensor, and also using motor driving module and dc motor design a robot which can operate independently, The robot can detect its own attitude, obstacles, competition venues edge automatically, then according to signal which the sensor feedback to micro controller controlling the motor produce pushing or avoid action. In the design of the robot, we using the senso

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Awasthi, Tanisha. "Enhancing Obstacle Tracing in Self-Driving Cars by Combining Infrared Camera and Radar Sensor." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40236.

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Building safe and reliable autonomous vehicles depend on accurate and efficient obstacle detection and tracing systems. On the other hand, this paper focuses on improving obstacle tracing in autonomous cars by employing infrared sensors and radar cameras within the framework of Bayesian networks. The proposed system merges the capabilities of the two sensors to enhance the fidelity and consistency of the interpretation of the external environment concerning obstacle detection. A Bayesian network is used to describe the uncertainty associated with each sensor, obstacle complexity, and environme

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Murali, S. Bala. "Ultrasonic Goggles for Blind Assistance." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45186.

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This device comprises a pair of glasses equipped with a central obstacle detection module, a processing unit, an output device (specifically a beeping component), and a power supply. The obstacle detection module and the output device are linked to the processing unit, which is powered by the power supply. The obstacle detection module primarily features an ultrasonic sensor, while the processing unit includes a control module, and the output unit is represented by a buzzer. The control unit manages the ultrasonic sensors, gathers information about obstacles in the user's path, processes this

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Amer, Abu-Jassar, and Maksymova Svitlana. "Obstacle Avoidance Sensors: A Brief Overview." Multidisciplinary Journal of Science and Technology 3, no. 5 (2023): 4–10. https://doi.org/10.5281/zenodo.10253756.

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The mobile robots development, which is extremely relevant at the moment, is not limited to the creation of the robot design itself. In order for the robot to perform tasks and achieve its goals, it is necessary to develop a control system for it. When it comes to mobile robots, and even more so about autonomous robots, the tasks of planning the path of movement of the robot and its parts, including actuators, come to the fore. To perform such tasks, a variety of sensor-based sensing systems are widely used. There are a huge variety of different types of sensors that are used to control a robo

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Nguyen, Ha Xuan, Huy Van Nguyen, Tung Thanh Ngo, and Anh Duy Nguyen. "IMPROVEMENT OF CONTROL ALGORITHM FOR MOBILE ROBOT USING MULTI-LAYER SENSOR FUSION." Vietnam Journal of Science and Technology 59, no. 1 (2021): 110. http://dx.doi.org/10.15625/2525-2518/59/0/15301.

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Mobile robots have received much of attention in the last three decades due to their very high potential of applications such as smart logistics, exploration, and intelligent services. One of important functions of mobile robots is the navigation in which robot must know their location, the maps of environment and perform path planning with obstacle avoidance. In this work, we introduce an improvement of control algorithm for mobile robot using multi-layer sensor fusion toward the target of efficient obstacle avoidance. Based on our method, we used three layers of sensors arranging in three he

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PROF., S.S.RASHINKAR, LOHAR S.S., BHOI A.L., P.V.GAVALI, and AMBEKAR K.S. "SOLAR POWERED ELECTRIC WHEEL CHAIR." JournalNX - A Multidisciplinary Peer Reviewed Journal NCMTEE-2K17 (March 26, 2017): 35–37. https://doi.org/10.5281/zenodo.1451217.

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This project is based on solar powered electric wheelchair for physically handicapped people. A user friendly interfacing voice recognition system and obstacle detector sensor and Keypad system has been integrated in this solar powered wheelchair. In this way we have implemented a solar powered wheelchair which can be controlled using voice commands and Keypad with the possibility of detecting obstacles by using obstacle detector sensors. In this wheelchair Keypad is provided for handicapped person for moving easily his her hand. This project indicates great success not only in business sector

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Sani Abdullahi Adamu, Abdulkarim Adamu, and M. S. Anas. "DESIGN, CONSTRUCTION AND TESTING OF A SMART STATIC AND DYNAMIC OBSTACLE WALKING STICK WITH EMF DETECTOR FOR THE BLINDS USING MCU AND CONTROLLING SOFTWARE." FUDMA JOURNAL OF SCIENCES 5, no. 2 (2021): 334–43. http://dx.doi.org/10.33003/fjs-2021-0502-623.

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Smart static and dynamic obstacle walking stick with EMF detector is an upgraded smart stick designed for blind people for optimal navigation and electrical safety. An advanced blind stick prototype that allows visually challenged people to navigate walking paths and identify electronic gadgets with ease using modern technologies is hereby developed. The blind stick is integrated with ultrasonic sensor along with an EMF detector. This prototype first uses ultrasonic sensors to sense obstacles ahead using ultrasonic waves. On sensing obstacles, the sensor directs this data to the microcontrolle

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