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Multi-Sensor Classification using a boosted Cascade Detector

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2 Author(s)
Walchshausl, L. ; BMW Group Res. & Technol. Vehicle Sensors & Perception Syst., Munich ; Lindl, R.

This paper provides a description of a new low-level feature-fusion approach for real-time object recognition utilising an arbitrary number of imaging sensors and based on a boosted cascade of simple features. The approach is demonstrated by means of a vehicle detection system. The application utilises laser scanner responses for hypotheses generation and low-level features from both colour and far infrared images for hypotheses classification. A first evaluation shows promising results.

Published in:

Intelligent Vehicles Symposium, 2007 IEEE

Date of Conference:

13-15 June 2007

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