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Recent Advance in Intelligent Vehicle

The aim of this reprint is to immerse the reader in the latest technologies in autonomous vehicles, including environment perception technologies, planning and control technologies and so on. In this reprint, leading experts in the field share their state-of-the-art works, insights, and visions for...

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Gardado en:
Formato: Online
Idioma:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2024
Subjects:
lane detection algorithm
electric vehicle
custom database
image processing
advanced driver assistance systems
unmanned
electric equation
racing cars
coordination control
PID control
intelligent vehicle
decision-making
driving safety
deep reinforcement learning
risk assessment
lane-level
road network model
route planning
point cloud
autonomous vehicles
3D object detection
pillar
LiDAR
camera
bird’s eye view
autonomous driving
view transformation
semantic segmentation
multiple object tracking
min-cost flow
feature extraction
data association on temporal window
truck platoon
reinforcement learning
Platoon-MAPPO algorithm
on-ramp region
autonomous parking
YOLOv5-OBB
parking space detection
coordinate attention mechanism
electric vehicles
artificial intelligence
edge intelligence
cloud computing
edge computing
internet of things
deep neural networks
energy efficiency
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general
Acceso en liña:ONIX_20240906_9783725814695_158
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Summary:The aim of this reprint is to immerse the reader in the latest technologies in autonomous vehicles, including environment perception technologies, planning and control technologies and so on. In this reprint, leading experts in the field share their state-of-the-art works, insights, and visions for the future. Together, we embark on a journey to unlock the full potential of the intelligence in autonomous vehicles, seeking sustainable solutions that improve the safety, comfort, intelligent performance.

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