Relevant bibliographies by topics / Sensor de radar

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sensor de radar'

Author: Grafiati
Published: 10 September 2021
Last updated: 29 July 2025

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Journal articles on the topic "Sensor de radar"

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Scannapieco, A. F., A. Renga, G. Fasano, and A. Moccia. "ULTRALIGHT RADAR FOR SMALL AND MICRO-UAV NAVIGATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (August 24, 2017): 333–38. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-333-2017.

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This paper presents a radar approach to navigation of small and micro Unmanned Aerial Vehicles (UAV) in environments challenging for common sensors. A technique based on radar odometry is briefly explained and schemes for complete integration with other sensors are proposed. The focus of the paper is set on ultralight radars and interpretation of outputs of such sensor when dealing with autonomous navigation in complex scenario. The experimental setup used to analyse the proposed approach comprises one multi-rotor UAV and one ultralight commercial radar. Results from flight tests in which both
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Weber, Christoph, Marius Eggert, Jesús Rodrigo-Comino, and Thomas Udelhoven. "Transforming 2D Radar Remote Sensor Information from a UAV into a 3D World-View." Remote Sensing 14, no. 7 (2022): 1633. http://dx.doi.org/10.3390/rs14071633.

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Since unmanned aerial vehicles (UAVs) have been established in geoscience as a key and accessible tool, a wide range of applications are currently being developed. However, not only the design of UAVs themselves is vital to carry out an accurate investigation, but also the sensors and the data processing are key parts to be considered. Several publications including accurate sensors are taking part in pioneer research programs, but less is explained about how they were designed. Besides the commonly used sensors such as a camera, one of the most popular ones is radar. The advantages of a radar
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Skaria, Sruthy, Akram Al-Hourani, Robin J. Evans, Kandeepan Sithamparanathan, and Udaya Parampalli. "Interference Mitigation in Automotive Radars Using Pseudo-Random Cyclic Orthogonal Sequences." Sensors 19, no. 20 (2019): 4459. http://dx.doi.org/10.3390/s19204459.

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The number of small sophisticated wireless sensors which share the electromagnetic spectrum is expected to grow rapidly over the next decade and interference between these sensors is anticipated to become a major challenge. In this paper we study the interference mechanisms in one such sensor, automotive radars, where our results are directly applicable to a range of other sensor situations. In particular, we study the impact of radar waveform design and the associated receiver processing on the statistics of radar–radar interference and its effects on sensing performance. We propose a novel i
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Veneruso, Paolo, Luca Manica, Enrico Miccio, et al. "FMCW Radar-Aided Navigation for Unmanned Aircraft Approach and Landing in AAM Scenarios: System Requirements and Processing Pipeline." Sensors 25, no. 8 (2025): 2429. https://doi.org/10.3390/s25082429.

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This paper focuses on the use of Frequency-Modulated Continuous Wave radars as an aiding source to provide precision navigation during approach and landing operations in Advanced Air Mobility scenarios. Specifically, the radar system requirements are delineated through an analysis of operational constraints defined by regulatory guidelines, including approach trajectories and vertiport infrastructure to ensure compatibility with Urban Air Mobility scenarios. A preliminary radar design is proposed which is integrated within a multi-sensor navigation architecture including a GNSS receiver, an in
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Weidinger, C., T. Kadiofsky, P. Glira, C. Zinner, and W. Kubinger. "3D ONLINE TERRAIN MAPPING WITH SCANNING RADAR SENSORS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2020 (August 3, 2020): 125–32. http://dx.doi.org/10.5194/isprs-annals-v-1-2020-125-2020.

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Abstract. Environmental perception is one of the core requirements in autonomous vehicle navigation. If exposed to harsh conditions, commonly deployed sensors like cameras or lidars deliver poor sensing performance. Millimeter wave radars enable robust sensing of the environment, but suffer from specular reflections and large beamwidths. To incorporate the sensor noise and lateral uncertainty, a new probabilistic, voxel-based recursive mapping method is presented to enable online terrain mapping using scanning radar sensors. For map accuracy evaluation, test measurements are performed with a s
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Lee, JeeEun, and Sun K. Yoo. "Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection." Sensors 20, no. 6 (2020): 1607. http://dx.doi.org/10.3390/s20061607.

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Continuous respiration monitoring is important for predicting a potential disease. Due to respiration measurements using contact sensors, it is difficult to achieve continuous measurement because the sensors are inconvenient to attach. In this study, a radar sensor was used for non-contact respiration measurements. The radar sensor had a high precision and could even be used in the dark. It could also be used continuously regardless of time and place. The radar sensor relied on the periodicity of respiration to detect the respiration rate. A respiration adaptive interval was set and the respir
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Kim, Junho, Taewon Jeong, and Seongwook Lee. "DNN-Based Estimation for Misalignment State of Automotive Radar Sensor." Sensors 23, no. 14 (2023): 6472. http://dx.doi.org/10.3390/s23146472.

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The reliability and safety of advanced driver assistance systems and autonomous vehicles are highly dependent on the accuracy of automotive sensors such as radar, lidar, and camera. However, these sensors can be misaligned compared to the initial installation state due to external shocks, and it can cause deterioration of their performance. In the case of the radar sensor, when the mounting angle is distorted and the sensor tilt toward the ground or sky, the sensing performance deteriorates significantly. Therefore, to guarantee stable detection performance of the sensors and driver safety, a
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Fritsche, Paul, and Bernardo Wagner. "Evaluation of a Novel Radar Based Scanning Method." Journal of Sensors 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/6952075.

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The following paper introduces a novel scanning method for mapping and localization purposes in mobile robotics. Our method is based on a rotating monostatic radar network, which determines the positions of objects around the scanner via a continuously running lateration algorithm. The estimation of surfaces with ultrawideband radar networks has been studied experimentally in lab environments, especially with lateration, envelopes of spheres, and SEABED algorithms. But we do not see a link to the field of mapping and localization of mobile robots, where laser scanners are dominating. Indeed, o
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Gu, Junyi, Artjom Lind, Tek Raj Chhetri, Mauro Bellone, and Raivo Sell. "End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles." Sensors 23, no. 15 (2023): 6783. http://dx.doi.org/10.3390/s23156783.

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Autonomous driving vehicles rely on sensors for the robust perception of their surroundings. Such vehicles are equipped with multiple perceptive sensors with a high level of redundancy to ensure safety and reliability in any driving condition. However, multi-sensor, such as camera, LiDAR, and radar systems raise requirements related to sensor calibration and synchronization, which are the fundamental blocks of any autonomous system. On the other hand, sensor fusion and integration have become important aspects of autonomous driving research and directly determine the efficiency and accuracy of
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Galajda, Pavol, Alena Galajdova, Stanislav Slovak, et al. "Robot vision ultra-wideband wireless sensor in non-cooperative industrial environments." International Journal of Advanced Robotic Systems 15, no. 4 (2018): 172988141879576. http://dx.doi.org/10.1177/1729881418795767.

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In this article, the ultra-wideband technology for localization and tracking of the robot gripper (behind the obstacles) in industrial environments is presented. We explore the possibilities of ultra-wideband radar sensor network employing the centralized data fusion method that can significantly improve tracking capabilities in a complex environment. In this article, we present ultra-wideband radar sensor network hardware demonstrator that uses a new wireless ultra-wideband sensor with an embedded controller to detect and track online or off-line movement of the robot gripper. This sensor use
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Dissertations / Theses on the topic "Sensor de radar"

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Park, Joongsuk. "Development of microwave and millimeter-wave integrated-circuit stepped-frequency radar sensors for surface and subsurface profiling." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/1588.

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Two new stepped-frequency continuous wave (SFCW) radar sensor prototypes, based on a coherent super-heterodyne scheme, have been developed using Microwave Integrated Circuits (MICs) and Monolithic Millimeter-Wave Integrated Circuits (MMICs) for various surface and subsurface applications, such as profiling the surface and subsurface of pavements, detecting and localizing small buried Anti-Personnel (AP) mines and measuring the liquid level in a tank. These sensors meet the critical requirements for subsurface and surface measurements including small size, light weight, good accuracy, fine reso
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Rukezo, Stacey Rutendo. "Design of an L Band Radar Sensor." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/11931.

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Includes abstract.<br>This dissertation describes the examination of a SAR transceiver, as a prototype L band sensor, to be used in a software defined radar system. This examination includes the evaluation, testing and recommissioning the available hardware. Tests on various subsystems which make up the sensor are carried out and described in detail.
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Isa, Maryam Binte Mohd. "Microwave radar sensor for solid flow measurement." Thesis, University of Manchester, 2006. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488369.

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Industrial flow measurement is a challenging area and in high demand. Tremendous research has been carried out to improve and solve problems in the flow measurement system. Thus, new techniques are produced and a wider range of flow measurement solutions have become available in market. This study has introduced a new technique that is useful and proves to be applicable in industrial flow measurement system. Microwave Doppler radar sensor was used to extract useful information of the solid flow characteristics. The amplitude level of the Doppler signal is analysed instead of the frequency shif
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Chuckpaiwong, Ittichote. "Development of position sensor using phase-based continuous wave radar." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/20505.

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Rouhani, Shahin. "Radar and Thermopile Sensor Fusion for Pedestrian Detection." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-115.

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<p>During the last decades, great steps have been taken to decrease passenger fatality in cars. Systems such as ABS and airbags have been developed for this purpose alone. But not much effort has been put into pedestrian safety. In traffic today, pedestrians are one of the most endangered participants and in recent years, there has been an increased demand for pedestrian safety from the European Enhanced Vehicle safety Committee and the European New Car Assessment Programme has thereby developed tests where pedestrian safety is rated. With this, detection of pedestrians has arised as a part in
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Mathew, Vineet. "Radar and Vision Sensor Fusion for Vehicle Tracking." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574441839857988.

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Niklasson, Johan, and Axel Åström. "Design and Implementation of a Multipurpose Radar Sensor." Thesis, Linköpings universitet, Fysik och elektroteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158167.

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This thesis presents the design and implementation of a multifunctional radar sensor. Utilising microstrip transmission line technology, a front-end receiver has been designed based upon a six-port architecture. Additionally, digital signal processing has been implemented on a microcontroller, enabling processing and extraction of information from the down converted quadrature signals. Results have show that the sensor is capable of operating as both a continuous wave radar and frequency modulated continuous wave radar. Through measurements, it has been established that the sensor is capable o
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Frischen, Andreas [Verfasser]. "MIMO radar networks with incoherent sensor nodes / Andreas Frischen." Ulm : Universität Ulm, 2021. http://d-nb.info/1225400929/34.

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Valmori, Filippo. "UWB radar sensor networks: Detection algorithms design and experimental analysis." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10164/.

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In the last years radar sensor networks for localization and tracking in indoor environment have generated more and more interest, especially for anti-intrusion security systems. These networks often use Ultra Wide Band (UWB) technology, which consists in sending very short (few nanoseconds) impulse signals. This approach guarantees high resolution and accuracy and also other advantages such as low price, low power consumption and narrow-band interference (jamming) robustness. In this thesis the overall data processing (done in MATLAB environment) is discussed, starting from experimental measu
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Andersson, Naesseth Christian. "Vision and Radar Sensor Fusion for Advanced Driver Assistance Systems." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94222.

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The World Health Organization predicts that by the year 2030, road traffic injuries will be one of the top five leading causes of death. Many of these deaths and injuries can be prevented by driving cars properly equipped with state-of-the-art safety and driver assistance systems. Some examples are auto-brake and auto-collision avoidance which are becoming more and more popular on the market today. A recent study by a Swedish insurance company has shown that on roadswith speeds up to 50 km/h an auto-brake system can reduce personal injuries by up to 64 percent. In fact in an estimated 40 perce
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Books on the topic "Sensor de radar"

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Hovanessian, Shahen A. Introduction to sensor systems. Artech House, 1988.

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Xin, Weizhuang. A satellite-based radar wind sensor. University of Kansas Center for Research, Inc., Radar Systems and Remote Sensing Laboratory, 1991.

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Xin, Weizhuang. A satellite-based radar wind sensor. University of Kansas Center for Research, Inc., Radar Systems and Remote Sensing Laboratory, 1991.

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S, Ustach Gerald, and Society of Photo-optical Instrumentation Engineers., eds. Radar sensor technology: 8-9 April 1996, Orlando, Florida. SPIE, 1996.

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Nguyen, Cam, and Jeongwoo Han. Time-Domain Ultra-Wideband Radar, Sensor and Components. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9578-9.

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E, Delnore Victor, and United States. National Aeronautics and Space Administration, eds. Wind shear detection: Forward-looking sensor technology. U.S. Dept. of Transportation, 1987.

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1944-, Trebits R. N., Kurtz J. L. 1945-, and Society of Photo-optical Instrumentation Engineers., eds. Radar sensor technology IV: 8 April 1999, Orlando, Florida. SPIE, 1998.

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1944-, Trebits R. N., Kurtz J. L. 1945-, and Society of Photo-optical Instrumentation Engineers., eds. Radar sensor technology III: 16 April 1998, Orlando, Florida. SPIE, 1998.

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1944-, Trebits R. N., Kurtz J. L. 1945-, and Society of Photo-optical Instrumentation Engineers., eds. Radar sensor technology II: 24 April 1997, Orlando, Florida. SPIE, 1997.

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Beng, Beh, Moore Richard K, and United States. National Aeronautics and Space Administration., eds. Scan patterns and accuracy of a radar wind sensor (RAWS). Radar Systems and Remote Sensing Laboratory, Dept. of Electrical Engineering and Computer Science, University of Kansas, 1995.

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Book chapters on the topic "Sensor de radar"

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Ng, Herman Jalli. "Doppler Radar Sensor Platform." In Handbook of Biochips. Springer New York, 2020. http://dx.doi.org/10.1007/978-1-4614-6623-9_53-1.

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Ng, Herman Jalli. "Doppler Radar Sensor Platform." In Handbook of Biochips. Springer New York, 2022. http://dx.doi.org/10.1007/978-1-4614-3447-4_53.

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Nguyen, Cam, and Joongsuk Park. "Stepped-Frequency Radar Sensor Analysis." In Stepped-Frequency Radar Sensors. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12271-7_3.

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Russchenberg, Herman, and Reinout Boers. "Radar Sensor Synergy for Cloud Studies; Case Study of Water Clouds." In Weather Radar. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05202-0_8.

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Wang, Xiangrong, Xianghua Wang, Weitong Zhai, and Kaiquan Cai. "Sparse Sensing for MIMO Array Radar." In Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9558-5_6.

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Wu, Peixuan, Xiaoyong Du, and Weidong Hu. "Cascaded GLRT Radar/Infrared Lidar Information Fusion Algorithm for Weak Target Detection." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_6.

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AbstractTo deal with the problem of weak target detection, a cascaded generalized likelihood ratio test (GLRT) radar/infrared lidar heterogeneous information fusion algorithm is proposed in this paper. The algorithm makes full use of the target characteristics in microwave/infrared spectrum and the scanning efficiency of different sensors. According to the correlation of target position in the multi-sensor view field, the GLRT statistic derived from the radar measurements is compared with a lower threshold so as to generate initial candidate targets with high detection probability. Subsequentl
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Mane, Venkatesh, Ashwin R. Kubasadgoudar, P. Nikita, and Nalini C. Iyer. "RADAR and Camera Sensor Data Fusion." In Information and Communication Technology for Competitive Strategies (ICTCS 2021). Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0095-2_75.

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Wang, Xiangrong, Xianghua Wang, Weitong Zhai, and Kaiquan Cai. "Sparse Sensing for Dual-Functional Radar Communications." In Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9558-5_8.

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Moran, William, Sofia Suvorova, and Stephen Howard. "Application of Sensor Scheduling Concepts to Radar." In Foundations and Applications of Sensor Management. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-49819-5_10.

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Yilmaz, Ayse S., Brian N. McQuay, Han Yu, Annie S. Wu, and John C. Sciortino. "Evolving Sensor Suites for Enemy Radar Detection." In Genetic and Evolutionary Computation — GECCO 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45110-2_130.

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Conference papers on the topic "Sensor de radar"

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Schily, Hans, Alexander Charlish, Raviraj Adve, and Anke Schmeink. "Distributed Quality of Service Multi-Sensor Resource Allocation Model." In 2024 International Radar Conference (RADAR). IEEE, 2024. https://doi.org/10.1109/radar58436.2024.10993883.

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Trouvé, Nicolas, Christian Cochin, Julien Houssay, et al. "EMPRISE : Synthetic Environment for sensor design and virtual qualification." In 2024 International Radar Conference (RADAR). IEEE, 2024. https://doi.org/10.1109/radar58436.2024.10993753.

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Hanumanthaiah, Manjunath, Girish S, and Priya Durairaj. "Phenomenological Modeling of Radar Sensor and Realization of Noise Effects." In 11th SAEINDIA International Mobility Conference (SIIMC 2024). SAE International, 2024. https://doi.org/10.4271/2024-28-0199.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;The rapid advancement in the autonomous vehicle industry has underscored the critical role of sensors in identifying and tracking traffic participants. Among these sensors, radar plays a pivotal role due to its ability to function reliably in various weather and lighting conditions. This paper presents a phenomenological radar sensor model designed to simulate the behavior of real radar systems under diverse scenarios, including noisy environments and accidental situations. As the complexity of autonomous systems increas
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Rajagopalan, Ramesh, Ruixin Niu, Chilukuri K. Mohan, Pramod K. Varshney, and Andrew L. Drozd. "Sensor placement algorithms for target localization in sensor networks." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720926.

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Egor Streck, Egor Streck, Peter Schmok Peter Schmok, Klaus Schneider Klaus Schneider, Hueseyin Erdogan Hueseyin Erdogan, and Gordon Elger Gordon Elger. "Safeguarding Future Autonomous Traffic by Infrastructure based on Multi Radar Sensor Systems." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2021-acm-121.

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"Due to its robust operation and high performance during bad weather conditions and overnight as well as the ability of using the Doppler Effect to measure directly the velocity of objects, the radar sensor is used in many application fields. Especially in automotive many radar sensors are used for the perception of the environment to increase the safety of the traffic. To increase the security level especially for vulnerable road users (VRU’s) like pedestrians or cyclists, radar sensors are used in driver assistance systems. Radar sensors are also used in the infrastructure, e.g. a commercial
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Rahi, Adibuzzaman, Chris Orlin Cardoza, Sri Sai Teja Vemulapalli, Tamer Wasfy, and Sohel Anwar. "Modeling of Automotive Radar Sensor in Unreal Engine for Autonomous Vehicle Simulation." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-112964.

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Abstract Accurately testing sensors used in vehicles prior to physical production is crucial for identifying potential shortcomings and configuring effective vehicle driver assistance systems and automations. The use of virtual environments for sensor simulation and testing offers extensive freedom and allows for experimentation with scenarios that are cost-prohibitive for physical testing. In this study, we developed a sensor model using the Unreal Engine to approximate the output of an actual Delphi ESR 2.5 medium-range radar. We utilized the LineBatcher function to create point clouds that
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Yavari, Ehsan, Hsun Jou, Victor Lubecke, and Olga Boric-Lubecke. "Doppler radar sensor for occupancy monitoring." In 2013 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2013. http://dx.doi.org/10.1109/wisnet.2013.6488651.

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Chen, Ke, Lei Chai, and Wei Yi. "Multi-Sensor Control for Distributed Multi-Target Tracking with Limited Sensor Fields-of-view." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10028120.

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Narayanan, Ram M., Colin D. Kelly, Brian R. Phelan, Traian Dogaru, and Kelly D. Sherbondy. "Optimized radar design parameters for synthetic aperture radar with limited swath." In Radar Sensor Technology XXII, edited by Kenneth I. Ranney and Armin Doerry. SPIE, 2018. http://dx.doi.org/10.1117/12.2305856.

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Nallabolu, Prateek, and Changzhi Li. "A Novel Radar Imaging Method Based on Random Illuminations Using FMCW Radar." In 2020 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT). IEEE, 2020. http://dx.doi.org/10.1109/wisnet46826.2020.9037583.

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Reports on the topic "Sensor de radar"

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Liang, Qilian. Studies on Radar and Non-radar Sensor Networks. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada449291.

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Liang, Qilian. Compressive Sensing for Radar and Radar Sensor Networks. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada594976.

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Haimovich, Alexander M. MIMO Radar: A Multi-Sensor Spatially Diverse Radar Architecture. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada495118.

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Chong, Edwin, and Louis L. Scharf. Integrated Radar Imaging, Target Tracking and Sensor Scheduling. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada448056.

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Liang, Qilian. MARSnet: Mission-aware Autonomous Radar Sensor Network for Future Combat Systems. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada484624.

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Cao, Siyang, Yao-jan Wu, and Feng Jin. Development of Intelligent Multimodal Traffic Monitoring using Radar Sensor at Intersections. Transportation Research and Education Center (TREC), 2021. http://dx.doi.org/10.15760/trec.268.

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Kulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2015.

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In this research work, we develop a drowsy driver detection system through the application of visual and radar sensors combined with machine learning. The system concept was derived from the desire to achieve a high level of driver safety through the prevention of potentially fatal accidents involving drowsy drivers. According to the National Highway Traffic Safety Administration, drowsy driving resulted in 50,000 injuries across 91,000 police-reported accidents, and a death toll of nearly 800 in 2017. The objective of this research work is to provide a working prototype of Advanced Driver Ass
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Kulhandjian, Hovannes. AI-based Pedestrian Detection and Avoidance at Night using an IR Camera, Radar, and a Video Camera. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2127.

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In 2019, the United States experienced more than 6,500 pedestrian fatalities involving motor vehicles which resulted in a 67% rise in nighttime pedestrian fatalities and only a 10% rise in daytime pedestrian fatalities. In an effort to reduce fatalities, this research developed a pedestrian detection and alert system through the application of a visual camera, infrared camera, and radar sensors combined with machine learning. The research team designed the system concept to achieve a high level of accuracy in pedestrian detection and avoidance during both the day and at night to avoid potentia
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Porcel Magnusson, Cristina. Unsettled Topics Concerning Coating Detection by LiDAR in Autonomous Vehicles. SAE International, 2021. http://dx.doi.org/10.4271/epr2021002.

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Autonomous vehicles (AVs) utilize multiple devices, like high-resolution cameras and radar sensors, to interpret the driving environment and achieve full autonomy. One of these instruments—the light detection and ranging (LiDAR) sensor—utilizes pulsed infrared (IR) light, typically at wavelengths of 905 nm or 1,550 nm, to calculate object distance and position. Exterior automotive paint covers an area larger than any other exterior material. Therefore, understanding how LiDAR wavelengths interact with vehicle coatings is extremely important for the safety of future automated driving technologi
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Liang, Qilian. MARSnet: Mission-aware Autonomous Radar Sensor Network for Future Combat Systems 12/8/06 to 12/31/09. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada513103.

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