TSR-YOLO: A Chinese Traffic Sign Recognition Algorithm for Intelligent Vehicles in Complex Scenes. [PDF]
Sensors (Basel), 2023 Recognizing traffic signs is an essential component of intelligent driving systems’ environment perception technology. In real-world applications, traffic sign recognition is easily influenced by variables such as light intensity, extreme weather, and ...
Song W, Suandi SA.
europepmc +2 more sources
A Novel V2V Cooperative Collision Warning System Using UWB/DR for Intelligent Vehicles [PDF]
Sensors, 2021 The collision warning system (CWS) plays an essential role in vehicle active safety. However, traditional distance-measuring solutions, e.g., millimeter-wave radars, ultrasonic radars, and lidars, fail to reflect vehicles’ relative attitude and motion ...
Mingyang Wang +5 more
doaj +2 more sources
An Empirical Study on Drivers’ Willingness to Use Automatic Features of Intelligent Vehicles: A Psychological Empowerment Perspective [PDF]
Frontiers in Psychology, 2021 With the advancement in AI and related technologies, we are witnessing more remarkable use of intelligent vehicles. Intelligent vehicles use smart automatic features that make travel happier, safer, and efficient.
Ting Li, Sumeet Gupta, Hong Zhou
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Intelligent vehicles and Smart transportation. [PDF]
Fundam ResHuang J +7 more
europepmc +3 more sources
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys [PDF]
IEEE Transactions on Intelligent Vehicles, 2023 Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys have reviewed research achievements in this field, they are still limited in
Long Chen +15 more
semanticscholar +1 more source
Milestones in Autonomous Driving and Intelligent Vehicles—Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors [PDF]
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys have reviewed research achievements in this field, they are still limited in
Long Chen +12 more
semanticscholar +1 more source
Milestones in Autonomous Driving and Intelligent Vehicles—Part II: Perception and Planning [PDF]
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their promise for enhanced safety, efficiency, and economic benefits.
Long Chen +9 more
semanticscholar +1 more source
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
doaj +1 more source
Radar Transformer: An Object Classification Network Based on 4D MMW Imaging Radar
Sensors, 2021 Automotive millimeter-wave (MMW) radar is essential in autonomous vehicles due to its robustness in all weather conditions. Traditional commercial automotive radars are limited by their resolution, which makes the object classification task difficult ...
Jie Bai +5 more
doaj +1 more source
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
doaj +1 more source