Results 1 to 10 of about 1,154,323 (153)

A Flexible Multi-Layer Map Model Designed for Lane-Level Route Planning in Autonomous Vehicles

Engineering, 2019
An increasing number of drivers are relying on digital map navigation systems in vehicles or mobile phones to select optimal driving routes in order to save time and improve safety.
Kun Jiang, Diange Yang, Chaoran Liu, Tao Zhang, Zhongyang Xiao   +4 more
doaj   +1 more source

Systemic Integration of EV and Autonomous Driving Technologies: A Study of China’s Intelligent Mobility Transition

World Electric Vehicle Journal
This paper presents a pioneering and novel analysis of the synergistic relationship between China’s leadership in electric vehicle (EV) adoption and the rapid advancement of autonomous driving (AD) technologies within the nation’s mobility ecosystem ...
Jiyong Gao, Yi Qiu, Zejian Chen
doaj   +1 more source

Coordinated Control Algorithm at Non-Recurrent Freeway Bottlenecks for Intelligent and Connected Vehicles

IEEE Access, 2020
Intelligent and Connected Vehicle (ICV) technology is considered to be a solution to improve the traffic performance. Through the information exchange in real-time among the vehicles, the roadside infrastructures, and the cloud platform, the sensing of ...
Du Xiaoping, Lv Dongxin, Li Shen, Wuniri Qiqige, Chu Wenbo   +4 more
doaj   +1 more source

Multi-dimensional scenario forecast for generation of multiple wind farms

Journal of Modern Power Systems and Clean Energy, 2015
A novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.
Ming Yang, You Lin, Simeng Zhu, Xueshan Han, Hongtao Wang   +4 more
doaj   +1 more source

Greenhouse Gas and CO₂-Equivalent Emissions Analysis of SI Engine Fueled by Hydrogen-Enriched Compressed Natural Gas (HCNG)

Energies
Internal combustion engines fueled by fossil fuels are major contributors to greenhouse gas (GHG) emissions. This study analyzes and predicts GHG emissions from hydrogen-enriched compressed natural gas (HCNG)-fueled spark-ignition (SI) engines ...
Hamza Ahmad Salam, Muhammad Farhan, Guoqiang Zhang, Tianhao Chen, Muhammad Ihsan Shahid, Anas Rao, Long Jiang, Xin Li, Fanhua Ma   +8 more
doaj   +1 more source

Synergistic Effect of Co₃(HPO₄)₂(OH)₂ Cocatalyst and Al₂O₃ Passivation Layer on BiVO₄ Photoanode for Enhanced Photoelectrochemical Water Oxidation

Molecules
Bismuth vanadate (BVO) is regarded as an exceptional photoanode material for photoelectrochemical (PEC) water splitting, but it is restricted by the severe photocorrosion and slow water oxidation kinetics.
Zijun Sun, Zhen Li, Jinlin Chen, Yuying Yang, Chunrong Su, Yumin Lv, Zhenhong Lu, Xiong He, Yongqing Wang   +8 more
doaj   +1 more source

Complete Coverage Path Planning in an Unknown Underwater Environment Based on D-S Data Fusion Real-Time Map Building

International Journal of Distributed Sensor Networks, 2012
A real-time map-building system is proposed for an autonomous underwater vehicle (AUV) to build a map of an unknown underwater environment. The system, using the AUV's onboard sensor information, includes a neurodynamics model proposed for complete ...
Mingzhong Yan, Daqi Zhu, Simon X. Yang
doaj   +1 more source

A novel underwater object detection enhanced algorithm based on YOLOv5‐MH

IET Image Processing
Underwater object detection is an important application of underwater vehicles. However, traditional underwater object detection algorithms have several shortcomings in underwater settings.
Ruishen Xu, Daqi Zhu, Mingzhi Chen
doaj   +1 more source

Research and prospect of intelligent connected vehicle test scheme

Dianxin kexue, 2023
The comprehensive test and evaluation of intelligent connected vehicles is an important guarantee for the safety of intelligent connected vehicles on the road and the smooth landing of the industry.Based on the test status, test technology path, test ...
Dongsheng WU, Fengna LI, Ningxin XIA, Dacheng LI   +3 more
doaj   +2 more sources

Research on Rail Damage Detection Based on Improved DETR Algorithm

Applied Sciences
In rail damage detection, the scale variation of small targets leads to inaccurate extraction of damage morphology and size features, thereby affecting the reliable identification of damage types.
Sanxiu Wu, Mengquan Wu, Fengtao Lin, Yang Yang, Rongkai Tan   +4 more
doaj   +1 more source