Sensorfusion using spatio-temporal aligned video and lidar for improved vehicle detection

被引：36

作者：

Maehlisch, Mirko ^{[1
]}

Schweiger, Roland ^{[1
]}

Ritter, Werner ^{[2
]}

Dietmayer, Klaus ^{[1
]}

机构：

[1] Univ Ulm, Dept Measurement Control & Microtechnol, Ulm, Germany

[2] Daimler Chrysler AG, Dept Res & Technol, REI AI, Ulm, Germany

来源：

2006 IEEE INTELLIGENT VEHICLES SYMPOSIUM | 2006年

关键词：

D O I：

10.1109/IVS.2006.1689665

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This contribution introduces a novel approach to cross-calibrate automotive vision and ranging sensors. The resulting sensor alignment allows the incorporation of multiple sensor data into a detection and tracking framework. Exemplarily, we show how a realtime vehicle detection system, intended for emergency breaking or ACC applications, benefits from the low level fusion of multibeam lidar and vision sensor measurements in discrimination performance and computational complexity.

引用

页码：424 / +

页数：3

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