Automotive radar systems offer the capability to measure very accurately target range, relative velocity, and azimuth angle of all objects inside the observation area. For future automotive applications like pedestrian safety systems, collision warning, turning-off and lane-changing assistance it will be necessary to have more detailed information about the target type. Therefore, a target classification technique, which is purely based on the range profile measured by a near-distance radar sensor, is presented in this paper.
Target classification based on near-distance radar sensors
2004-01-01
801059 byte
Conference paper
Electronic Resource
English
14.30 Target Classification based on Near-Distance Radar Sensors
British Library Conference Proceedings | 2004
|PAPERS - Joint Target Tracking and Classification Using Radar and ESM Sensors
Online Contents | 2001
|Radar-based near distance device for precrash sensing
British Library Conference Proceedings | 1999
|Distance Measurement Using Near Infrared Sensors
Springer Verlag | 2015
|