Path Planning Optimization of Intelligent Vehicle Based on Improved Genetic and Ant Colony Hybrid Algorithm. [PDF]
Front Bioeng Biotechnol, 2022 Intelligent vehicles were widely used in logistics handling, agriculture, medical service, industrial production, and other industries, but they were often not smooth enough in planning the path, and the number of turns was large, resulting in high ...
Shi K +6 more
europepmc +2 more sources
Deep transfer learning for intelligent vehicle perception: A survey [PDF]
Green Energy and Intelligent Transportation, 2023 Deep learning-based intelligent vehicle perception has been developing prominently in recent years to provide a reliable source for motion planning and decision making in autonomous driving.
Huiming Sun +2 more
exaly +2 more sources
Advances in Intelligent Vehicle Control. [PDF]
Sensors (Basel), 2022 Advanced intelligent vehicle control systems have evolved in the last few decades thanks to the use of artificial-intelligence-based techniques, the appearance of new sensors, and the development of technology necessary for their implementation [...]
Cabrera JA.
europepmc +6 more sources
Research on Intelligent Vehicle Trajectory Tracking Control Based on Improved Adaptive MPC. [PDF]
Sensors (Basel)Intelligent vehicle trajectory tracking exhibits problems such as low adaptability, low tracking accuracy, and poor robustness in complex driving environments with uncertain road conditions.
Tan W, Wang M, Ma K.
europepmc +2 more sources
Intelligent vehicle lateral control strategy research based on feedforward + predictive LQR algorithm with GA optimisation and PID compensation. [PDF]
Sci RepTargeting the lateral motion control problem in the intelligent vehicle autopilot structural system, this paper proposes a feedforward + predictive LQR algorithm for lateral motion control based on Genetic Algorithm (GA) parameter optimisation and PID ...
Zheng ZA, Ye Z, Zheng X.
europepmc +2 more sources
Vision‐aided intelligent vehicle sideslip angle estimation based on a dynamic model
IET Intelligent Transport Systems, 2020 The vehicle sideslip angle is an important state for vehicle dynamic control, which needs to be estimated as it could not be obtained directly by the vehicle.
Ｗei Liu, Lu Xiong, Xin Xia
exaly +2 more sources
DeepVM: RNN-Based Vehicle Mobility Prediction to Support Intelligent Vehicle Applications
IEEE Transactions on Industrial Informatics, 2020 The recent advances in vehicle industry and vehicle-to-everything communications are creating a huge potential market of intelligent vehicle applications, and exploiting vehicle mobility is of great importance in this field.
Ｗei Liu, Yozo Shoji
exaly +2 more sources
Multi-Target Tracking with Collaborative Roadside Units Under Foggy Conditions [PDF]
SensorsThe Intelligent Road Side Unit (RSU) is a crucial component of Intelligent Transportation Systems (ITSs), where roadside LiDAR are widely utilized for their high precision and resolution.
Tao Shi +6 more
doaj +2 more sources
Intelligent In‐Vehicle Interaction Technologies [PDF]
Advanced Intelligent Systems, 2021 With rapid advances in the field of autonomous vehicles (AVs), the ways in which human–vehicle interaction (HVI) will take place inside the vehicle have attracted major interest and, as a result, intelligent interiors are being explored to improve the user experience, acceptance, and trust.
Prajval Kumar Murali +2 more
openaire +3 more sources
The Lateral Tracking Control for the Intelligent Vehicle Based on Adaptive PID Neural Network [PDF]
Sensors, 2017 Weiping Fu, Zongsheng Wu
exaly +2 more sources