Research on Intelligent Vehicle Path Planning Method Based on Improved RRT Algorithm

Niu, Chuanhu; Li, Aijuan; Xin, Huang; Xu, Chuanyan

doi:10.1109/phm-nanjing52125.2021.9613000

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…Different search algorithms have different advantages and disadvantages, suitable for different road conditions, such as the Dijkstra algorithm [28] and the A * algorithm [29], the ant colony algorithm [30], etc. In particular, the A * algorithm is straightforward but computationally intensive, the Dijkstra algorithm is robust but less efficient, and the colony algorithm is also robust but easy to fall into the local optimum.…”

Section: Intelligent Decision Making Of Intelligent Connected Vehiclesmentioning

confidence: 99%

Recent Progress on Digital Twins in Intelligent Connected Vehicles: A Review

Chai,

Yan,

Zhang

et al. 2024

ELEKTRON ELEKTROTECH

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As an important enabling technology in the era of Industry 4.0, the intelligent connected vehicle (ICV) facilitates robust data interaction with the outside through sensors and communication technologies, ultimately making scientific decisions based on environmental perception information. However, due to constraints such as limited communication bandwidth and computing resources, the influx of data simultaneously impedes the sustainable optimisation of the vehicle decision making process at the same time. As a novel technology that effectively connects physical and virtual space, the special ability of the digital twin (DT) is to identify characteristics within a certain lifecycle, thereby garnering widespread attention across various industries. The purpose of this paper is to review the contribution of digital twins in the application field of intelligent vehicles and explore its potential for development. First, the key technologies of ICV provide a basis for the embedding of digital twins. Then, by analysing the development process and technical composition of digital twins, readers can better understand the concept of digital twins. Finally, the application of DTs in ICV is reviewed from the perspective of vehicles, traffic facilities, and occupants. Future challenges and opportunities in this direction are described at the same time.

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Section: Intelligent Decision Making Of Intelligent Connected Vehiclesmentioning

confidence: 99%