Results 1 to 10 of about 38,817 (260)
A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain
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
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Technical route decision making of intelligent driving has always been the focus of attention of automotive enterprises and even the industry. Firstly, this study combs the main technical routes of intelligent driving at different levels from three ...
Zongwei Liu +3 more
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Technology of intelligent driving radar perception based on driving brain
Radar is an important sensor to realise intelligent driving environment perception, enabling the detection of static obstacles and dynamic obstacles, and the tracking of a dynamic obstacle.
Hongbo Gao +3 more
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DRL-based Vehicle Control Strategy for Signal-free Intersections [PDF]
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
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Cooperative Transit Signal Priority Considering Bus Stops Under Adaptive Signal Control
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
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Implementation of a V2P-Based VRU Warning System With C-V2X Technology
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
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Velocity Planning Method Base on Fuzzy Neural Network for Autonomous Vehicle
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
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A novel method for calibration and verification of roadside millimetre‐wave radar
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
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Evaluation on the Fuel Economy of Automated Vehicles with Data-Driven Simulation Method
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
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Fourier Graph Convolution Network for Time Series Prediction
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
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