A Review of Sensor Technologies for Perception in Automated Driving

被引:181
作者
Marti, Enrique [1 ]
Perez, Joshue [1 ]
Angel de Miguel, Miguel [2 ]
Garcia, Fernando [2 ]
机构
[1] Fdn Tecnalia, Automated Driving Grp, Derio 48160, Spain
[2] Univ Carloss III Madrid, Leganes 28911, Spain
关键词
Cameras; Robot sensing systems; Accidents; Laser radar; Roads; PEDESTRIAN DETECTION; VEHICLE; RADAR; VISION; SYSTEM; LANE; TRACKING; LIDAR; ROAD;
D O I
10.1109/MITS.2019.2907630
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
After more than 20 years of research, ADAS are common in modern vehicles available in the market. Automated Driving systems, still in research phase and limited in their capabilities, are starting early commercial tests in public roads. These systems rely on the information provided by on-board sensors, which allow to describe the state of the vehicle, its environment and other actors. Selection and arrangement of sensors represent a key factor in the design of the system. This survey reviews existing, novel and upcoming sensor technologies, applied to common perception tasks for ADAS and Automated Driving. They are put in context making a historical review of the most relevant demonstrations on Automated Driving, focused on their sensing setup. Finally, the article presents a snapshot of the future challenges for sensing technologies and perception, finishing with an overview of the commercial initiatives and manufacturers alliances that will show the intention of the market in sensors technologies for Automated Vehicles.
引用
收藏
页码:94 / 108
页数:15
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