旋光法
激光雷达
稳健性(进化)
雷达
汽车工业
计算机科学
遥感
雷达工程细节
雷达成像
双基地雷达
鉴定(生物学)
计算机视觉
人工智能
散射
工程类
航空航天工程
地理
化学
基因
生物
植物
电信
光学
物理
生物化学
作者
Julius F. Tilly,Fabio Weishaupt,Ole Schumann,Jens Klappstein,Jürgen Dickmann,Gerd Wanielik
摘要
For highly automated driving it is crucial to be able to perceive and fully understand the environment surrounding the vehicle. To achieve this goal, a combination of three different sensors is typically used: camera, lidar and radar. Radar's advantages in this setup are its instantaneous radial velocity estimation and its robustness against adverse weather conditions. Even more information, including shapes and orientations of geometries on sensed objects, can be gained by using a newly available automotive polarimetric radar. This work presents polarimetric signatures of a passenger car under various aspect angles. For the first time polarimetric scattering processes are spatially resolved in a real-world scenario using an automotive polarimetric radar allowing identification of car segment geometries and orientations. Applying this additional information to essential tasks in automated driving such as classification and tracking provides additional benefit.
科研通智能强力驱动
Strongly Powered by AbleSci AI