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A Review of Vehicle Detection Techniques for Intelligent Vehicles
IEEE Transactions on Neural Networks and Learning Systems, 2023Robust and efficient vehicle detection is an important task of environment perception of intelligent vehicles, which directly affects the behavior decision-making and motion planning of intelligent vehicles. Due to the rapid development of sensor and computer technology, the algorithm and technology of vehicle detection have been updated rapidly.
Zhangu Wang, Jun Zhan, Chunguang Duan
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On-road vehicle detection: a review
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006Developing on-board automotive driver assistance systems aiming to alert drivers about driving environments, and possible collision with other vehicles has attracted a lot of attention lately. In these systems, robust and reliable vehicle detection is a critical step. This paper presents a review of recent vision-based on-road vehicle detection systems.
Zehang Sun, George Bebis
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Detection and classification of vehicles
IEEE Transactions on Intelligent Transportation Systems, 2002This paper presents algorithms for vision-based detection and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. Processing is done at three levels: raw images, region level, and vehicle level. Vehicles are modeled as rectangular patches with certain dynamic behavior.
Surendra Gupte +3 more
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Online Boosting for Vehicle Detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010This paper presents a real-time vision-based vehicle detection system employing an online boosting algorithm. It is an online AdaBoost approach for a cascade of strong classifiers instead of a single strong classifier. Most existing cascades of classifiers must be trained offline and cannot effectively be updated when online tuning is required.
Wen-Chung Chang, Chih-Wei Cho
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Vehicles detection in Traffic Flow
2010 Sixth International Conference on Natural Computation, 2010Traffic Flow Analysis System is an important part of Intelligent Transportation Systems. It mainly contains two parts: vehicle detection part and vehicle tracking part. The efficient video object segmentation algorithm is the basis of vehicle detection part that aims to segment each vehicle correctly.
Guoliang Mo, Sanyuan Zhang
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A framework for cloned vehicle detection
Frontiers of Computer Science, 2020Rampant cloned vehicle offenses have caused great damage to transportation management as well as public safety and even the world economy. It necessitates an efficient detection mechanism to identify the vehicles with fake license plates accurately, and further explore the motives through discerning the behaviors of cloned vehicles.
Minxi Li +3 more
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Vehicle detection apparatus and vehicle detection method
The Journal of the Acoustical Society of America, 2004There are provided a vehicle detection apparatus and a vehicle detection method which are capable of detecting a sound source even when a plurality of vehicles are traveling simultaneously or when there are noises produced from something other than the desired vehicle and calculating the location in the vehicle traveling direction and the lane ...
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Detection of vehicles in shadow areas
2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011This paper presents a new method to automatically detect occluded vehicle in semi or deep shadow areas using combined very high resolution (VHR) 3D LIDAR and hyperspectral data. The proposed shape/spectral integration (SSI) decision fusion algorithm was shown to outperform the spectral based anomaly algorithm mainly in deep shadow areas.
Michal Shimoni +3 more
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Provident Detection of Vehicles at Night
2020 IEEE Intelligent Vehicles Symposium (IV), 2020Visual perception is one of the most important information sources during driving. However, current camera perception systems are limited to object detection and, hence, to directly visible objects. Because it is mandatory for vehicles to run headlights at night, their emitted light can be detected before a vehicle is directly visible.
Emilio Oldenziel +2 more
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