A Survey of Models and Methods for Autonomous Vehicles’ Trajectory Planning

The trajectory planning of autonomous vehicles (AVs) has received extensive attention from relevant researchers. This paper makes a systematic survey of the trajectory planning of AVs. Not only did it describe the trajectory planning problem of vehicles on structured roads and intersections, but it also summarized the AVs’ trajectory planning problem of vehicles in unstructured spaces such as slopes, shoulders, sharp turns, and parking, which has not been fully studied. Therefore, this paper focuses on the trajectory planning of autonomous vehicles in unstructured space. At the same time, the trajectory planning problems of some special vehicles such as mining vehicles and autonomous racing cars have also been summarized. This article not only summarizes the existing AVs’ trajectory planning scenarios and methods but also systematically describes the entire AV vehicle planning model.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.001
Citations
5
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
1.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Survey of Models and Methods for Autonomous Vehicles’ Trajectory Planning

Shizi Ma, Chao Ma, Zhitao Ma, Sheng Wang
5 citations
Transportation and Mobility Innovations
1.02
article

A Survey of Models and Methods for Autonomous Vehicles’ Trajectory Planning

Shizi Ma, Chao Ma, Zhitao Ma, Sheng Wang
article en
5 citations

Abstract

The trajectory planning of autonomous vehicles (AVs) has received extensive attention from relevant researchers. This paper makes a systematic survey of the trajectory planning of AVs. Not only did it describe the trajectory planning problem of vehicles on structured roads and intersections, but it also summarized the AVs’ trajectory planning problem of vehicles in unstructured spaces such as slopes, shoulders, sharp turns, and parking, which has not been fully studied. Therefore, this paper focuses on the trajectory planning of autonomous vehicles in unstructured space. At the same time, the trajectory planning problems of some special vehicles such as mining vehicles and autonomous racing cars have also been summarized. This article not only summarizes the existing AVs’ trajectory planning scenarios and methods but also systematically describes the entire AV vehicle planning model.

University of Leeds (GB), Harbin Institute of Technology (CN)
Openalex Percentile: Top 24%
Transportation and Mobility Innovations
1.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.