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Robust hand detection in Vehicles
2016 23rd International Conference on Pattern Recognition (ICPR), 2016The problems of hand detection have been widely addressed in many areas, e.g. human computer interaction environment, driver behaviors monitoring, etc. However, the detection accuracy in recent hand detection systems are still far away from the demands in practice due to a number of challenges, e.g.
T. Hoang Ngan Le +4 more
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Training method for vehicle detection
Proceedings of the 2nd International Conference on Communication and Information Processing, 2016Recently, vehicle detection methods have been popularly used in the field of intelligent vehicles. The performance and processing time of vehicle detection is very important because it is associated with the life of a driver. However, all vehicle detection methods generate missing detections and false detections because of different vehicle appearances.
Minsung Kang, Young-Chul Lim
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System for Vehicles Classification and Emergency Vehicles Detection
IFAC Proceedings Volumes, 2012The rapid increase in the number of cars in cities puts increased demands on transport infrastructure. The main tools that allow existing transport infrastructure to cope with this situation are: adaptive control of intersections, real-time information system on availability of roads and parking support system.
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Passive detection of vehicle loading
SPIE Proceedings, 2012The Digital Imaging and Remote Sensing Laboratory (DIRS) at the Rochester Institute of Technology, along with the Savannah River National Laboratory is investigating passive methods to quantify vehicle loading. The research described in this paper investigates multiple vehicle indicators including brake temperature, tire temperature, engine temperature,
Troy R. McKay +7 more
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Vehicle Brake and Indicator Detection for Autonomous Vehicles
2015Automated detection of vehicle lights can be used as a part of the systems for forward collision avoidance and accidents. This paper presents automatic vehicle detection and tracking system using Haar-Cascade method. The threshold collection is HSV color space in the vehicle light representation and the segmentation selection of light area.
R. Sathya +2 more
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Illuminating Vehicles With Motion Priors For Surveillance Vehicle Detection
2020 IEEE International Conference on Image Processing (ICIP), 2020Vehicle detection in traffic surveillance videos is a special subtask in object detection, where desired objects are vehicles moving on the road while the background is still within a sequence. The disparity of speed within each frame, i.e. moving and static, is consistent with the vehicle and background semantic to some extent, thus motions can be ...
Xiaolian Wang +4 more
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Vehicle Detection and Classification: A Review
2020Smart traffic and information systems require the collection of traffic data from respective sensors for regulation of traffic. In this regard, surveillance cameras have been installed in monitoring and control of traffic in the last few years. Several studies are carried out in video surveillance technologies using image processing techniques for ...
V. Keerthi Kiran +2 more
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Embedded Vehicle Detection by Boosting
2006 IEEE Intelligent Transportation Systems Conference, 2006Adaptive boosting is a promising method for real time detection of vehicles for ACC applications. This paper evaluates performance and implementation issues for Adaboost classification of monocular rear view vehicle detection on embedded hardware.
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Enhancing Misbehavior Detection in 5G Vehicle-to-Vehicle Communications
IEEE Transactions on Vehicular Technology, 2020Next-generation advanced driver-assistance systems (ADAS) and cooperative adaptive cruise control (CACC) for advanced/autonomous driving are expected to increasingly use wireless connectivity such as V2V and V2I to improve the coverage, particularly in the locations where a vehicle's camera or radar is ineffective.
Van Linh Nguyen +2 more
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Fuzzy measures for vehicle detection
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2005This paper presents a vehicle detection algorithm. We compute fuzzy integrals based on the evidence gathered. We have carried out extensive experiments. For all vehicles in the images, including the ones partially occluded and cut off at the image boundary, we are able to achieve a detection rate of 80% comparing with only 13% in our previous systems ...
Zhi-Qiang Liu +2 more
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