A Survey on Vehicle Trajectory Prediction Procedures for Intelligent Driving [PDF]
SensorsAimed at vehicle trajectory prediction procedures, this survey provides a comprehensive review for intelligent driving from both theoretical and practical perspectives.
Tingjing Wang +3 more
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A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain
Engineering, 2018 The type, model, quantity, and location of sensors installed on the intelligent vehicle test platform are different, resulting in different sensor information processing modules.
Deyi Li, Hongbo Gao
doaj +3 more sources
Research on a Simulation Method of the Millimeter Wave Radar Virtual Test Environment for Intelligent Driving [PDF]
Sensors, 2020 Bing Zhu, Xiaowen Tao
exaly +2 more sources
DRL-based Vehicle Control Strategy for Signal-free Intersections [PDF]
Jisuanji kexue, 2022 Using deep learning technology to control vehicles at intersections is a research hotspot in the field of intelligent transportation.Previous studies suffer from the inability to adapt to dynamic changes in the number of self-driving vehicles,slow ...
OUYANG Zhuo, ZHOU Si-yuan, LYU Yong, TAN Guo-ping, ZHANG Yue, XIANG Liang-liang
doaj +1 more source
Cooperative Transit Signal Priority Considering Bus Stops Under Adaptive Signal Control
IEEE Access, 2023 Cooperative transit signal priority (CTSP), which integrates cellular vehicle-to-everything (C-V2X) technology, can improve the efficiency of connected transit vehicles at signalized intersections.
Changlong Zhang +5 more
doaj +1 more source
Implementation of a V2P-Based VRU Warning System With C-V2X Technology
IEEE Access, 2023 Cellular vehicle-to-everything(C-V2X) technology can protect vulnerable road users(VRUs) in traffic accidents. Smartphones are the most common portable devices for VRUs, but they do not support direct communication between vehicles and pedestrians.
Changlong Zhang +7 more
doaj +1 more source
Velocity Planning Method Base on Fuzzy Neural Network for Autonomous Vehicle
IEEE Access, 2021 In order to improve the comfort performance and reduce the planning algorithm complexity in autonomous vehicle, an intelligent longitudinal velocity planning method based on fuzzy neural network (FNN) is proposed.
Meng Wang +3 more
doaj +1 more source
A novel method for calibration and verification of roadside millimetre‐wave radar
IET Intelligent Transport Systems, 2022 Roadside perception systems commonly rely on millimetre‐wave radars that are stationary. Obtaining global coordinates of radar detection targets requires calibration of radars installed on roadways, which is dangerous if performed via conventional ...
Changlong Zhang +3 more
doaj +1 more source
Evaluation on the Fuel Economy of Automated Vehicles with Data-Driven Simulation Method
Energy and AI, 2021 With more commercialized automated vehicles (AVs) shortly entering the market, evaluating their fuel economy has become an important topic. The traditional fixed-profile test methods only indicate the effect of powertrain efficiency on fuel economy and ...
Yueqi Luo +5 more
doaj +1 more source
Fourier Graph Convolution Network for Time Series Prediction
Mathematics, 2023 The spatio-temporal pattern recognition of time series data is critical to developing intelligent transportation systems. Traffic flow data are time series that exhibit patterns of periodicity and volatility.
Lyuchao Liao +3 more
doaj +1 more source