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A Unified Multiple-Target Positioning Framework for Intelligent Connected Vehicles [PDF]
Sensors, 2019 Future intelligent transport systems depend on the accurate positioning of multiple targets in the road scene, including vehicles and all other moving or static elements.
Zhongyang Xiao +3 more
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Attacks and defences on intelligent connected vehicles: a survey
Digital Communications and Networks, 2020 Intelligent vehicles are advancing at a fast speed with the improvement of automation and connectivity, which opens up new possibilities for different cyber-attacks, including in-vehicle attacks (e.g., hijacking attacks) and vehicle-to-everything ...
Mahdi Dibaei +7 more
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IEEE Access, 2019 Intelligent connected vehicles are autonomous vehicles. With the increasing degree of automation of autonomous vehicles and the development of open applications in the future, the computing tasks of autonomous vehicles are becoming more and more complex.
Hong Zhong +3 more
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A Survey of Brake-by-Wire System for Intelligent Connected Electric Vehicles
IEEE Access, 2020 Intelligent connected electric vehicles (EVs) are widely considered as a trend in the global automotive industry to make transportation safer, cleaner and more comfortable.
Bumin Meng +3 more
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A Color Histogram Based Large Motion Trend Fusion Algorithm for Vehicle Tracking
IEEE Access, 2021 Due to the static nature of roadside cameras, targets of images have the characteristics of near big and far small. In a short time, as distances between targets and cameras get more faraway and the pixel ratios of the same target decrease sharply, which
Yin Yankun +3 more
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LFD-Net: Lightweight Feature-Interaction Dehazing Network for Real-Time Remote Sensing Tasks
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Currently, remote sensing equipments are evolving toward intelligence and integration, incorporating edge computing techniques to enable real-time responses.
Yizhu Jin +3 more
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Chinese Journal of Mechanical Engineering, 2021 The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast development of network, sensors, as well as computing technology, it becomes realizable to have vehicles driving autonomously. To achieve autonomous driving,
Wenbo Chu +5 more
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Prediction model of intelligent connected vehicles driving behavior based on deep learning multi network fusion [PDF]
Zhihui kongzhi yu fangzhen, 2023 The accurate prediction of driving intention and driving tracks of surrounding vehicles is the basis to ensure the safe driving of Intelligent Connected Vehicles in complex road scenes.
DING Zirui, XIANG Junping
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Sensors, 2023 The autonomous driving technology based on deep reinforcement learning (DRL) has been confirmed as one of the most cutting-edge research fields worldwide.
Weiguo Liu +4 more
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IET Intelligent Transport Systems, 2021 Intelligent and connected vehicles are believed to be the future solution to traffic management, especially in highly challenging areas such as intersections.
Lv Dongxin +4 more
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