This paper presents a novel vehicle detection approach based on artificial immune principle. The approach is to build an artificial immune system for vehicle detection from high resolution satellite imagery, where vehicles mimic dangerous antigens and vehicle detection templates mimic antibodies. The artificial immune system uses the antibody network concept inspired from the immune system to l...

Vehicle detection is crucial in the implementation of assisted driving or collision prevention systems. Further, given the limits of human vision, detection at nighttime is paramount to prove the effectiveness of any such system. Thus, this project endeavors to implement a nighttime vehicle detection system based on the Windows Phone platform. The basic premise is to mount the smartphone on the...

Recently, obstacles detection and identification task in ADAS is a well-established research field. Histogram of oriented gradients (HOG) is one of the most effective obstacle feature extraction approaches to the study. In this paper, an optimization detection system based on a customized HOG descriptor is presented and investigated to achieve an accurate vehicle recognition system. The key con...

The vehicle detection is the process of marking the vehicles in the images. The vehicle detection processes can be performed on the aerial, satellite, vehicular camera or other similar or non-similar images. The vehicle detection methods are used for vehicle number or vehicle density calculations, vehicle tracking, vehicle monitoring, urban vehicular activity monitoring, etc. Such application r...

Robust and reliable vehicle detection is a challenging task under the conditions of variable size and distance, various weather and illumination, cluttered background, the relative motion between the host vehicle and background. In this paper we investigate real-time vehicle detection using machine vision for active safety in vehicle applications. The conventional search method of vehicle detec...