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Robust vehicle detection approach
Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005., 2006Vehicle detection plays an important role in the intelligent transportation system. In this paper, we propose a novel approach which performs a spatio-temporal wavelet transform on videos to obtain motion information of vehicles. Different kinds of motion information extracted in sub-bands are combined to form an additive motion image.
Yuan-Kai Wang, Shao-Hua Chen
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Cascade of Classifiers for Vehicle Detection
2007Being aware of other vehicles on the road ahead is a key information to help driver assistance systems to increase driver's safety. This paper addresses this problem, proposing a system to detect vehicles from the images provided by a single camera mounted in a mobile platform.
Daniel Ponsa, Antonio M. López 0001
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Ground Vehicle Detection and Classification by an Unmanned Aerial Vehicle
2015 12th Latin American Robotics Symposium and 2015 3rd Brazilian Symposium on Robotics (LARS-SBR), 2015Rotary-wing unmanned aerial vehicles (UAV) are being widely used in different applications due to its several features, such as mobility, lightweight, embedded processing and capability of flying in different height levels. Among the possible applications they are used in surveillance tasks, agriculture environments monitoring, power lines inspections ...
Raphael Montanari +3 more
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Outlier Detection of Internet of Vehicles
2019With the development of the Internet of Things (IoT) and automobile industry in recent years, the Internet of Vehicle (IoV) has become a future direction of automobile development. Due to the large amount of vehicles, the opening of wireless media, the high-speed movement of vehicles and the impact of the environment, it is inevitable to produce ...
Yingming Zeng +3 more
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Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles
18th International Conference on Pattern Recognition (ICPR'06), 2006This study presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving. The proposed method detects vehicles based on detecting and locating vehicle headlights and taillights using techniques of image segmentation and pattern analysis.
Yen-Lin Chen +3 more
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Close range vehicle detection and tracking by vehicle lights
2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2014The problem of front vehicle detection and tracking during the night, unlike during the day, is that the environment provides little visible information with which to use. However, because it is important task which can help drivers at night, we propose a novel algorithm to detect and track by the location of tail lights.
Jiann-Der Lee +3 more
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ViPED: On-road vehicle passenger detection for autonomous vehicles
Robotics and Autonomous Systems, 2019Abstract This paper is about detecting and counting the passengers of a tracking vehicle using on-car monocular vision. By having a model of nearby vehicle occupants, intelligent reasoning systems of autonomous cars will be provided with this additional knowledge needed in emergency situations such as those that many philosophers have recently raised.
Angelos Amanatiadis +4 more
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Intermittently Connected Vehicle-to-Vehicle Networks: Detection and Analysis
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011Vehicular Adhoc Networks (VANETs) are dedicated to improve the safety and efficiency of transportation systems through vehicle to vehicle or vehicle to road side communications. VANETs exhibit dynamic topology and intermittent connectivity due to high vehicle mobility.
Yujin Li, Ming Zhao 0001, Wenye Wang
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Object Detection in Autonomous Vehicles
2023 IEEE 13th International Conference on System Engineering and Technology (ICSET), 2023Muhammad Ikhwan Mohammad Fakharurazi +5 more
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A Survey: Vehicle Detection and Counting
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2022S. Venkatesh, B. Sankara Babu
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