Relevant bibliographies by topics / IR Obstacle Sensors

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'IR Obstacle Sensors'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "IR Obstacle Sensors"

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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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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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Patil, Dr Sambhaji. "HUMAN FOLLOWER ROBOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30976.

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The development of a Human Follower Robot incorporating IR and Ultrasonic Sensors represents an innovative venture in robotics and automation, aimed at creating a versatile machine capable of tracking and following targets while navigating obstacles. This project is fuelled by the vision of combining sensor technology, microcontroller programming, and robotic design to birth a robot capable of graceful traversal and intelligent target pursuit. At its core, the project relies on the integration of two essential sensor technologies: Infrared (IR) and Ultrasonic sensors. IR sensors, functioning a
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Singh, Dr N. Nirmal. "Tamil Tesla For Disabled Persons Using IOT with Tamil Voice Recognition." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48874.

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Abstract-The system utilizes an Arduino microcontroller, integrating multiple sensors such as ultrasonic, IR sensors, and a servomotor, along with a DF Player speaker for voice guidance in Tamil. The ultrasonic sensor detects obstacles in the robot's path, providing real-time data to avoid collisions. In addition, three IR sensors are placed at key positions to further monitor the environment and ensure safety by halting the robot or guiding it away from obstacles. The robot is controlled via an IoT platform, allowing users to issue commands for movement such as forward, backward, left, right,
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Salim, Rana Ali. "Wheelchair Control Using Finger Gestures IoT-Based Arduino." Babylonian Journal of Internet of Things 2024 (November 25, 2024): 137–50. https://doi.org/10.58496/bjiot/2024/016.

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This paper presents the development of a wheelchair control system using Arduino and wireless finger gestures. The system incorporates various components such as Arduino Uno and Arduino Nano boards, ultrasonic and IR sensors, an LN298 motor driver module, motors, an IR flame/fire sensor, a buzzer, batteries, and HC12 wireless modules. The flex sensor is utilized to detect finger movements and gestures, while the ultrasonic and IR sensors provide obstacle detection capabilities. The Arduino boards process the sensor data and interpret the finger gestures, mapping them to specific commands for w
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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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Zhou, Qiang, Danping Zou, and Peilin Liu. "Hybrid obstacle avoidance system with vision and ultrasonic sensors for multi-rotor MAVs." Industrial Robot: An International Journal 45, no. 2 (2018): 227–36. http://dx.doi.org/10.1108/ir-07-2017-0126.

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Purpose This paper aims to develop an obstacle avoidance system for a multi-rotor micro aerial vehicle (MAV) that flies in indoor environments which usually contain transparent, texture-less or moving objects. Design/methodology/approach The system adopts a combination of a stereo camera and an ultrasonic sensor to detect obstacles and extracts three-dimensional (3D) point clouds. The obstacle map is built on a coarse global map and updated by local maps generated by the recent 3D point clouds. An efficient layered A* path planning algorithm is also proposed to address the path planning in 3D
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Wu, Peng, Shaorong Xie, Hengli Liu, et al. "Autonomous obstacle avoidance of an unmanned surface vehicle based on cooperative manoeuvring." Industrial Robot: An International Journal 44, no. 1 (2017): 64–74. http://dx.doi.org/10.1108/ir-04-2016-0127.

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Purpose Autonomous obstacle avoidance is important in unmanned surface vehicle (USV) navigation. Although the result of obstacle detection is often inaccurate because of the inherent errors of LIDAR, conventional methods typically emphasize on a single obstacle-avoidance algorithm and neglect the limitation of sensors and safety in a local region. Conventional methods also fail in seamlessly integrating local and global obstacle avoidance algorithms. This paper aims to present a cooperative manoeuvring approach including both local and global obstacle avoidance. Design/methodology/approach The
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Ismail, R., Z. Omar, and S. Suaibun. "Obstacle-avoiding robot with IR and PIR motion sensors." IOP Conference Series: Materials Science and Engineering 152 (October 2016): 012064. http://dx.doi.org/10.1088/1757-899x/152/1/012064.

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Zhang, Xinyu, Mo Zhou, Peng Qiu, Yi Huang, and Jun Li. "Radar and vision fusion for the real-time obstacle detection and identification." Industrial Robot: the international journal of robotics research and application 46, no. 3 (2019): 391–95. http://dx.doi.org/10.1108/ir-06-2018-0113.

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Purpose The purpose of this paper is the presentation and research of a novel sensor fusion-based system for obstacle detection and identification, which uses the millimeter-wave radar to detect the position and velocity of the obstacle. Afterwards, the image processing module uses the bounding box regression algorithm in deep learning to precisely locate and identify the obstacles. Design/methodology/approach Unlike the traditional algorithms that use radar and vision to detect obstacles separately, the purposed method of this paper uses radar to determine the approximate location of obstacle
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Dissertations / Theses on the topic "IR Obstacle Sensors"

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Bauer, Philippe. "Caractérisation et modélisation de senseurs infrarouges pyroélectriques monolithiques utilisés en détection d'obstacles." Grenoble INPG, 1995. http://www.theses.fr/1995INPG0140.

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En detection d'obstacles, dans le cadre de l'application automobile, la voie infrarouge passive fondee sur l'imagerie thermique (bande 8-14m), est apparue, a long terme, la solution ideale. Les objectifs de faible cout de fabrication ont conduit a la realisation d'une matrice de 32x32 detecteurs pyroelectriques utilisant le polyvinylidene trifluoroethylene (pvdf-trfe), depose sur un circuit de lecture de type cmos selon les techniques habituelles du depot des resines de la microelectronique. Ce memoire presente un travail de fond sur la comprehension de la detection pyroelectrique par le pvdf-
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Yu, Kai-Cheng, and 游凱程. "A Study of a Tracking and Obstacle Avoidance Robot Using Kinect Sensor and IR Sensor." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/39d5x9.

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碩士<br>國立勤益科技大學<br>機械工程系<br>102<br>This research studies a tracking and obstacle avoidance robot, which combines a XBOX Kinect sensor released by Microsoft Inc. and an infrared ray sensor. The robot is capable of tracking an object (a person) and avoiding an obstacle. Kinect, installed on the top of the robot, can obtain a 3D position of the tracking object. Kinect is connected to the PC of the robot via a USB cable. An OpenNI C/C++ API is used to program the Kinect application software. While Kinect receives the 3D position of the tracking object, it is sent to the robot’s computer. The data i
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Book chapters on the topic "IR Obstacle Sensors"

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Sharma, Rahul, Honc Daniel, and František Dušek. "Sensor Fusion: An Application to Localization and Obstacle Avoidance in Robotics Using Multiple IR Sensors." In Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07401-6_38.

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C. G, Mallamma, Varalakshmi B. D, Nagapushpa K. P, and Anuradha U. "SMART NAVIGATION ASSISTANCE SYSTEM FOR THE VISUALLY IMPAIRED." In Futuristic Trends in IOT Volume 3 Book 5. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bgio5p2ch4.

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There are several hassles in daily life for visually challenged people. In light of this, it is very important to focus on the needs of those who are visually impaired. To help people who are vision impaired to enjoy normal lives, researchers approach the issue from a variety of angles. The white cane is the support system and it enables a sense of being free, independent and self-assured. They can easily take care of their daily tasks thanks to the proposed smart cane's design, which includes an obstacle detection module, heat detection, water detection, light detection, pit and staircase det
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Hema Shankari, K., S. Mathi Vilasini, D. Sridevi, and S. Amudha. "Analysts and Detection of Concealed Weapons Using lR Fusion With MMW Support Imaging Technology." In Advances in Social Networking and Online Communities. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9640-1.ch008.

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The detection of weapons concealed underneath a person's clothing is an important obstacle to the improvement of the security of the general public as well as the safety of public assets like airports and buildings. The lack of proper mechanisms to detect and identify concealed weapons in advance results in the increase of crime rate. This chapter presents a study for concealed weapon detection using passive millimeter wave imaging sensors combined with image processing and convolutional neural networks. This eliminates the ambiguity of using millimeter wave imaging alone. The proposed system
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Johnson, A. "FABRICATION AND DEVELOPMENT OF A SERVO CONTROLLED PICK AND PLACE ROBOTIC ARM." In Futuristic Trends in Mechanical Engineering Volume 3 Book 5. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bdme5p2ch5.

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This paper addresses the automation of a material handling system responsible for orchestrating the motion of a robotic arm. The objective is to enable the arm to successfully grasp objects that are in transit on a conveyor belt oriented along the vertical axis This study focuses on constructing a model designed to identify items positioned on a conveyor. Subsequently, the model retrieves and positions these items in their predetermined locations through automation. This approach eliminates repetitive tasks that were previously carried out by humans, while simultaneously enhancing work precisi
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Jess, J., Jess Urea, Manuel Mazo, and lvaro Hernndez. "IR Barrier Data Integration for Obstacle Detection." In Sensor and Data Fusion. I-Tech Education and Publishing, 2009. http://dx.doi.org/10.5772/6571.

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Thombre, Supriya Suresh, Vaibhaw R. Doifode, Sakshi Hemant Kokardekar, and Sampada S. Wazalwar. "Smart Hand Glove for Enhancing Human Safety." In Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs). IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3597-0.ch024.

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Coal mine workers are at a high risk for health and safety problems. A large number of workers suffer from respiratory issues due to a sudden decrease in oxygen level, or are prone to serious injuries because of any obstacles in the dark. This chapter suggests a smart wearable for workers as a solution to this critical problem. This wearable prototype is embedded with infrared (IR) sensors, which can detect obstacles in the dark environment like coal mines. IR sensors are frequently employed in various mining applications due to their ability to operate effectively in low-light or completely d
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Conference papers on the topic "IR Obstacle Sensors"

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Park, Hyunwoong, and Sooyong Lee. "Rotating Range Sensor System for Obstacle Detection and Map Building." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99658.

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This paper describes a new sensor system for improving the accuracy of the range information using multiple IR range sensors. Environment and obstacle sensing is the key issue for mobile robot localization and navigation. Laser scanners cover 180° and are accurate but too expensive. Radial range sensors such as laser scanners, IR scanners and Ultrasonic range sensor rings have blind spots so that a small obstacle not close enough to the sensor may be easily missed. It is necessary to develop a low cost sensor system which covers 360° with small blind spots. A sensor system with 12 IR range sen
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Sebastian Fabian, OSCOBOINIC, and Mihaela E. Hnatiuc. "Obstacle avoidance fuzzy system for mobile robot with IR sensors." In Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI, edited by Marian Vladescu, Ionica Cristea, and Razvan D. Tamas. SPIE, 2023. http://dx.doi.org/10.1117/12.2643502.

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Oprea, Marin. "INTEGRATION OF ROBOTICS PROJECTS IN THE PRE-UNIVERSITY EDUCATIONAL ENVIRONMENT." In eLSE 2020. University Publishing House, 2020. http://dx.doi.org/10.12753/2066-026x-20-109.

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Our students must be prepared for the jobs of the future: smart home developer, specialist in human-robot interaction, augmented reality architect etc. They need to be encouraged to explore more, discover and understand how things work around them. Their training must be supported by Internet of Things (IoT), Robotics and Artificial Intelligence (AI) courses. These courses are part of the STEM educational model aimed to the integrated approach of Science, Technology, Engineering and Mathematics. The integration of these courses into school curriculum of pre-university education becomes a neces
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Gana, Joshua, Ebun Fasina, Babatunde Sawyerr, Ramoni Yusuf, and William Udousoro. "Development of an Obstacle-Avoidance Goal-Based Autonomous Vehicle using Arduino Uno and Infrared and Ultrasonic Sensors." In International Conference on Artificial Intelligence and Robotics. Machine Intelligence Research Group (MIRG), 2023. https://doi.org/10.52968/15066989.

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This project involves the advanced design and development of an intelligent goal-based obstacleavoiding robot. The autonomous robot in this project can locate a user command specifying a goal station on a track of stations while avoiding obstacles. The robot avoids collisions by altering its direction or course and then proceeding on a track or path. Based on the perception it has collected through the sensors, the robot decides which new path to take to avoid collisions and reach its goal. The robot is intelligent enough to follow tracks of black tape and stop when it reaches the goal. Its im
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Javed, Asfa, Hassan Tariq, and Abdullah Khalid. "Implementation of IR sensors in thru-beam and diffuse-reflective modes for obstacle detection." In 2017 International Symposium on Wireless Systems and Networks (ISWSN). IEEE, 2017. http://dx.doi.org/10.1109/iswsn.2017.8250013.

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Rahul Sharma, K., Daniel Honc, and Frantisek Dusek. "Sensor fusion for prediction of orientation and position from obstacle using multiple IR sensors an approach based on Kalman filter." In 2014 International Conference on Applied Electronics (AE). IEEE, 2014. http://dx.doi.org/10.1109/ae.2014.7011716.

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Garcia, J. J., J. Urena, A. Hernandez, et al. "IR sensor array configuration and signal processing for detecting obstacles in railways." In 2004 IEEE Sensor Array and Multichannel Signal Processing Workshop. IEEE, 2004. http://dx.doi.org/10.1109/sam.2004.1502940.

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Imphaiboon, Pakpoom, Somsak Kittipiyakul, Kamol Kaemarungsi, and Yasuharu Koike. "Effect of Obstacle Attenuation on Human Respiratory Detection using IR-UWB Sensor." In 2021 9th International Electrical Engineering Congress (iEECON). IEEE, 2021. http://dx.doi.org/10.1109/ieecon51072.2021.9440327.

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Zantou, Pamely, Mikael A. Mousse, and Béthel C. A. R. K Atohoun. "An Intelligent based System for Blind People Monitoring in a Smart Home." In 9th International Conference on Signal, Image Processing and Pattern Recognition (SPPR 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101910.

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Visually impaired people need help to travel safely. To make this possible, many travel aids have been designed. Among them, the cane which is considered as a symbol of visual deficiency in the whole world. In this work, we build an electronic white cane using sensors' technology. This intelligent cane detects obstacles within 2m on the ground or in height, and sends vocal instructions via a Bluetooth headset. We have also built a mobile application to track in real time the visually impaired and a WEB application to control the access to the mobile one. We use ultrasound, IR sensors and a ras
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Sullivan, Christopher, Elizabeth A. DeBartolo, and Kathleen Lamkin-Kennard. "Terrain Characterization Using Modified RANSAC Analysis of Human Gait Data." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80780.

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One of the many lasting side effects of a stroke can be foot drop, or an inability to dorsiflex the foot. In order to remedy this, many people wear an ankle-foot orthotic (AFO) post-stroke. One of the many troubles these individuals face is in dealing with obstacles such as stairs and ramps, because the AFO limits the plantarflexion that is natural in navigating these obstacles [1,2]. The end goal of this research is to create an active AFO that adapts to changing ground terrain, providing a more natural gait pattern. This paper presents the first part of this work: a means for identifying ter
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