AN INTEGRATED SPATIOTEMPORAL APPROACH TO AUTOMATIC VISUAL GUIDANCE OF AUTONOMOUS VEHICLES

被引：88
|
作者：
DICKMANNS, ED
MYSLIWETZ, B
CHRISTIANS, T
机构：
[1] Fakultät für Luft-und Raumfahrttechnik, Universität der Bundeswehr München, 8014 Neubiberg
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1990年 / 20卷 / 06期
关键词：
D O I：
10.1109/21.61200
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Kaiman filter approach to recursive state estimation exploiting dynamical models for the motion of massive objects has been extended to image sequence processing. This allows to confine image processing to the last frame of the sequence only and to derive a direct spatial interpretation including spatial velocity components by smoothing integrations of prediction errors. Results are presented for road vehicle guidance at high speeds including obstacle detection and monocular relative spatial state estimation. The corresponding data processing architecture is discussed; the system has been implemented on a MIMD parallel processing system. Speeds up to 100 km/h have been demonstrated. © 1990 IEEE
引用
收藏
页码：1273 / 1284
页数：12
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