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Attacks and defences on intelligent connected vehicles: a survey [PDF]
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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STGFormer: Spatio-Temporal Graph Transformer for Traffic Flow Prediction in Sparse-Sensing Scenarios [PDF]
SensorsWith the continuous improvement in intelligent transportation and data perception levels, determining how to achieve high-precision and generalizable traffic flow prediction based on historical traffic data has become an important issue in intelligent ...
Jin Zhang +4 more
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Automotive Telemetry in Connected Vehicles: A Review of 5G and Satellite Communication Technologies for Long-Range Data Transmission [PDF]
SensorsThe rapid evolution of connected and autonomous vehicles has significantly increased the importance of automotive telemetry as a fundamental component of intelligent transportation systems.
Jozef Jaroslav Fekiač +6 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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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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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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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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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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Adding ears to intelligent connected vehicles by combining microphone arrays and high definition map
IET Intelligent Transport Systems, 2021 Ears are responsible for the sense of hearing, which is indispensable for a human to understand the environment. It is similar to an intelligent vehicle where acoustical data contains useful and valuable information to comprehend the environment to ...
Kun Jiang +6 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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