Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Xing, Guanbin"'
Autor:
Wang, Yizhou, Cheng, Jen-Hao, Huang, Jui-Te, Kuan, Sheng-Yao, Fu, Qiqian, Ni, Chiming, Hao, Shengyu, Wang, Gaoang, Xing, Guanbin, Liu, Hui, Hwang, Jenq-Neng
Sensor fusion is crucial for an accurate and robust perception system on autonomous vehicles. Most existing datasets and perception solutions focus on fusing cameras and LiDAR. However, the collaboration between camera and radar is significantly unde
Externí odkaz:
http://arxiv.org/abs/2311.10261
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing, 2022
Detecting harmful carried objects plays a key role in intelligent surveillance systems and has widespread applications, for example, in airport security. In this paper, we focus on the relatively unexplored area of using low-cost 77GHz mmWave radar f
Externí odkaz:
http://arxiv.org/abs/2111.00551
Publikováno v:
2021 IEEE International Conference on Autonomous Systems
Millimeter-wave (mmWave) radars are being increasingly integrated in commercial vehicles to support new Adaptive Driver Assisted Systems (ADAS) features that require accurate location and Doppler velocity estimates of objects, independent of environm
Externí odkaz:
http://arxiv.org/abs/2104.01639
Various autonomous or assisted driving strategies have been facilitated through the accurate and reliable perception of the environment around a vehicle. Among the commonly used sensors, radar has usually been considered as a robust and cost-effectiv
Externí odkaz:
http://arxiv.org/abs/2102.05150
Publikováno v:
IEEE Transactions on Vehicular Technology, 2021
Millimeter-wave radars are being increasingly integrated into commercial vehicles to support advanced driver-assistance system features. A key shortcoming for present-day vehicular radar imaging is poor azimuth resolution (for side-looking operation)
Externí odkaz:
http://arxiv.org/abs/2101.09293
Publikováno v:
IEEE Sensor Journal, 2020
Millimeter-wave radars are being increasingly integrated into commercial vehicles to support new advanced driver-assistance systems by enabling robust and high-performance object detection, localization, as well as recognition - a key component of ne
Externí odkaz:
http://arxiv.org/abs/2011.08981
Radar is usually more robust than the camera in severe driving scenarios, e.g., weak/strong lighting and bad weather. However, unlike RGB images captured by a camera, the semantic information from the radar signals is noticeably difficult to extract.
Externí odkaz:
http://arxiv.org/abs/2003.01816
Publikováno v:
2019 53rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2019, pp. 1-6
Millimeter-wave (mmW) radars are being increasingly integrated in commercial vehicles to support new Adaptive Driver Assisted Systems (ADAS) for its ability to provide high accuracy location, velocity, and angle estimates of objects, largely independ
Externí odkaz:
http://arxiv.org/abs/1912.12566
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