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.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren





    Image-Based Road Terrain Classification

    Prof. Wang, Shifeng | Springer Verlag | 2019


    An Image Processing Approach to Detect Obstacles on Road

    Ganesan, R.K. / Natesan, D.K. / Raj, A. et al. | British Library Conference Proceedings | 2015


    An Image Processing Approach to Detect Obstacles on Road

    Raj, Arjun / Natesan, Dilip Krishna / Sekar, Nambiraj et al. | SAE Technical Papers | 2015