Title: Cue and Sensor Fusion for Independent Moving Objects Detection and Description in Driving Scenes
Authors: Chumerin, Nikolay
Van Hulle, Marc
Issue Date: 2008
Publisher: Springer
Host Document: Signal Processing Techniques for Knowledge Extraction and Information Fusion pages:161-180
Article number: 9
Abstract: In this study we present an approach to detecting, describing and tracking independently moving objects (IMOs) independently moving object, IMO in stereo video sequences acquired by on-board cameras on a moving vehicle.
In the proposed model only three sensors are used: stereovision,speedometer and LIDAR (Light Detection and Ranging) Light Detection and Ranging, LIDAR. The IMOs detected by vision are matched with obstacles provided by LIDAR. In the case of a successful matching, the descriptions of the IMOs (distance, relative speed and acceleration) are provided by ACC (Adaptive Cruise Control) Adaptive Cruise Control, ACC LIDAR sensor, or otherwise these descriptions are estimated based on vision. Absolute speed of the IMO is evaluated using its relative velocity and egospeed provided by the speedometer. Preliminary results indicate the generalization ability of the proposed system.
ISBN: 978-0-387-74366-0
Publication status: published
KU Leuven publication type: IHb
Appears in Collections:Research Group Neurophysiology

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