DocumentCode
1816865
Title
Autonomous convoy driving by night: The vehicle tracking system
Author
Fries, Carsten ; Wuensche, Hans-Joachim
Author_Institution
Dept. of Aerosp. Eng., Univ. of the Bundeswehr Munich, Munich, Germany
fYear
2015
fDate
11-12 May 2015
Firstpage
1
Lastpage
6
Abstract
Previous publications of our institute describe a robust vehicle tracking system for daylight conditions. This paper presents an improved vehicle tracking system which is able to detect and track the convoy leader also by twilight and night. The primary sensor equipment consists of a daytime camera, a LiDAR and an inertial navigation system. An expansion with a thermal and a lowlight camera was necessary to be robust against any illumination conditions. The system is capable of estimating the relative 3D position and orientation, the velocity and the steering angle of a convoy leader precisely in real-time. This makes it possible to follow the convoy leader´s track. Another novelty is coupling a Kalman filter with a particle filter for higher stability and accuracy in vehicle tracking. The tracking system shows excellent functionality while driving more than 50km fully autonomously in urban- and unstructured environments at night.
Keywords
Kalman filters; cameras; inertial navigation; object detection; object tracking; optical radar; particle filtering (numerical methods); road vehicles; traffic engineering computing; Kalman filter; LiDAR; autonomous convoy driving by night; convoy leader vehicle detection; daytime camera; inertial navigation system; lowlight camera; particle filter; relative 3D position estimation; thermal camera; vehicle tracking system; Cameras; Image edge detection; Kalman filters; Radar tracking; Solid modeling; Three-dimensional displays; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Technologies for Practical Robot Applications (TePRA), 2015 IEEE International Conference on
Conference_Location
Woburn, MA
Type
conf
DOI
10.1109/TePRA.2015.7219675
Filename
7219675
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