The challenge of putting vision algorithms into a car

Current and future driver assistance systems rely heavily on environment perception. Using radar, ultrasound, laser, and camera systems they address the demand for comfortable and safe transportation. In this talk, we present the special biotope of vehicle-based machine vision algorithms. Developing...

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Bibliographic Details
Main Author: Stein, F.
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Hardware
Laser radar
Sensors
Software
Software algorithms
Vehicles
Online Access:Request full text
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Summary:Current and future driver assistance systems rely heavily on environment perception. Using radar, ultrasound, laser, and camera systems they address the demand for comfortable and safe transportation. In this talk, we present the special biotope of vehicle-based machine vision algorithms. Developing software for computer vision tasks in the car industry is accompanied by several tough constraints, such as: · working with limited hardware resources · running with little energy consumption · using software economically · demanding reliable and robust building blocks · requiring methods that handle adverse environmental conditions, e.g. atmospheric disturbances or low light. We outline and discuss the steps of the development process starting with a first idea for an assistance system up to a final embedded system.
ISSN:2160-7508
2160-7516
DOI:10.1109/CVPRW.2012.6238900