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 in2019 IEEE International Solid- State Circuits Conference - (ISSCC) pp. 162 - 164
Main Authors Hung, Chih-Ming, Lin, Alex TC, Peng, BC, Wang, Hua, Hsu, Jui-Lin, Lu, Yen-Ju, Hsu, Weishow, Zhan, Jing-Hong Conan, Juan, Brian, Lok, Chi-Hang, Lee, Sam, Hsiao, PC, Zhou, Qiang, Wei, Mark, Chu, Hsiang-Yun, Chen, Yu-Lun, Hung, Chao-Ching, Fong, Kevin, Huang, Po-Chun, Chen, Pierce, Su, Sheng-Yuan, Chen, Yan-Jiun, Chen, Kehou, Tung, Chun-Chao, Hsieh, Yi-Jhan, Tsai, Tzung-Chuen, Chen, Yi-Fu, Hsin, Wei-Kuo, Guo, Liang, Liu, Hanfei, Jin, Dapeng
Format Conference Proceeding
LanguageEnglish
Published 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.
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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StartPage 162
SubjectTerms Automotive engineering
Chirp
Radar antennas
Radar detection
Radar imaging
Transceivers
Title 9.1 Toward Automotive Surround-View Radars
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