9.1 Toward Automotive Surround-View Radars
The future of driving extends from physical mobility and enjoyment today to having more services enabled by wireless connectivity, clean and green technologies, secure transactions, and so forth. Whether the ownership is based on physical vehicles or services, or whether the drivers are human or rob...
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Published in | 2019 IEEE International Solid- State Circuits Conference - (ISSCC) pp. 162 - 164 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Conference Proceeding |
Language | English |
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IEEE
01.02.2019
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Abstract | The future of driving extends from physical mobility and enjoyment today to having more services enabled by wireless connectivity, clean and green technologies, secure transactions, and so forth. Whether the ownership is based on physical vehicles or services, or whether the drivers are human or robots, one demand that will never change is to have better safety at affordable cost. Among available sensor technologies for the advanced-driver-assistance-system (ADAS), radar is indispensable due to its unique capability in robustness against environmental impacts, long-range detection, sufficient range resolution, and simultaneous multi-depth detection. Those are very crucial since camera, Lidar and ultrasonic sensors perform poorly under severe weather conditions, and an autonomous vehicle would become partially blinded without radars. There are several automotive radar applications such as front radars responsible for autonomous cruise control and automatic emergency braking, as well as corner radars responsible for blind-spot detection (BSD), cross-traffic alert (CTA), and the like. A new class of applications comprehending ultra-short range sensing and 360° surround view for parking assistance, door-opening alert, etc. is emerging. In this paper, requirements of the new applications will be examined, which will be further broken into system and circuit specification. A new system including application-driven algorithm, hardware and software designs will be presented to fulfill the new demands. |
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AbstractList | The future of driving extends from physical mobility and enjoyment today to having more services enabled by wireless connectivity, clean and green technologies, secure transactions, and so forth. Whether the ownership is based on physical vehicles or services, or whether the drivers are human or robots, one demand that will never change is to have better safety at affordable cost. Among available sensor technologies for the advanced-driver-assistance-system (ADAS), radar is indispensable due to its unique capability in robustness against environmental impacts, long-range detection, sufficient range resolution, and simultaneous multi-depth detection. Those are very crucial since camera, Lidar and ultrasonic sensors perform poorly under severe weather conditions, and an autonomous vehicle would become partially blinded without radars. There are several automotive radar applications such as front radars responsible for autonomous cruise control and automatic emergency braking, as well as corner radars responsible for blind-spot detection (BSD), cross-traffic alert (CTA), and the like. A new class of applications comprehending ultra-short range sensing and 360° surround view for parking assistance, door-opening alert, etc. is emerging. In this paper, requirements of the new applications will be examined, which will be further broken into system and circuit specification. A new system including application-driven algorithm, hardware and software designs will be presented to fulfill the new demands. |
Author | Lu, Yen-Ju Lin, Alex TC Liu, Hanfei Su, Sheng-Yuan Zhan, Jing-Hong Conan Fong, Kevin Hsieh, Yi-Jhan Hsu, Jui-Lin Hung, Chih-Ming Hsu, Weishow Lee, Sam Zhou, Qiang Jin, Dapeng Wang, Hua Chen, Kehou Chu, Hsiang-Yun Wei, Mark Chen, Yu-Lun Lok, Chi-Hang Chen, Yan-Jiun Huang, Po-Chun Peng, BC Tsai, Tzung-Chuen Hsin, Wei-Kuo Chen, Pierce Hsiao, PC Juan, Brian Hung, Chao-Ching Guo, Liang Tung, Chun-Chao Chen, Yi-Fu |
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Snippet | The future of driving extends from physical mobility and enjoyment today to having more services enabled by wireless connectivity, clean and green... |
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SubjectTerms | Automotive engineering Chirp Radar antennas Radar detection Radar imaging Transceivers |
Title | 9.1 Toward Automotive Surround-View Radars |
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