Soldiers incurred injuries or even lost their lives due to rollovers while driving military vehicles. A recent report identified that the one cause of rollovers is the driver's inability to assess rollover threats, such as a cliff, soft ground, water, or a culvert on the passenger side of the vehicle, due to the vehicle's width. To reduce the number of rollover accidents, a road- edge detection and driver warning system is being developed to detect the rollover threats on the passenger side of the vehicle and warn the driver. This system utilizes a unique, ultra-fast image processing algorithm based on the neurobiology of insect vision and the study of fly vision. The system consists of a camera system, a long-range, planar laser scanner, a processing module in which a biomimetic image processor detects edges present in the images in real- time, and a Driver Vision Enhancer (DVE) which displays the current road image, detected boundaries, and road side terrain steepness.
Utilizing Biomimetic Image Processing to Detect the Road Edge of Off- Road Terrain
2007
11 pages
Report
Keine Angabe
Englisch
Zoology , Combat Vehicles , Transportation , Infrared & Ultraviolet Detection , Bionics & Artificial Intelligence , Biomimetics , Neurobiology , Image processing , Warning systems , Edges , Detection , Scanners , Roads , Infrared cameras , Military vehicles , Symposia , Algorithms , Terrain , Road edge detection , Rollover threat detection , Rollover , Image processing algorithms , Insect vision applications , Dve(Driver vision enhancer) , Fly vision , Laser scanners , Lwir(Long wavelength infrared) , Off road terrain , Video cameras
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