Bibliographic Details
| Title: |
Review of pedestrian trajectory prediction methods |
| Authors: |
Linhui LI, Bin ZHOU, Weiwei REN, Jing LIAN |
| Source: |
智能科学与技术学报, Vol 3, Pp 399-411 (2021) |
| Publisher Information: |
POSTS&TELECOM PRESS Co., LTD, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Electronic computers. Computer science |
| Subject Terms: |
trajectory prediction, deep learning, sequence decision, Electronic computers. Computer science, QA75.5-76.95 |
| More Details: |
With the breakthrough of deep learning technology and the proposal of large data sets, the accuracy of pedestrian trajectory prediction has become one of the research hotspots in the field of artificial intelligence.The technical classification and research status of pedestrian trajectory prediction were mainly reviewed.According to the different modeling methods, the existing methods were divided into shallow learning and deep learning based trajectory prediction algorithms, the advantages and disadvantages of representative algorithms in each type of method were analyzed and introduced.Then, the current mainstream public data sets were summarized, and the performance of mainstream trajectory prediction methods based on the data sets was compared.Finally, the challenges faced by the trajectory prediction technology and the development direction of future work were prospected. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
Chinese |
| ISSN: |
2096-6652 |
| Relation: |
http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202140; https://doaj.org/toc/2096-6652 |
| DOI: |
10.11959/j.issn.2096-6652.202140 |
| Access URL: |
https://doaj.org/article/b0a27e033df1426daaaa7a6c57751834 |
| Accession Number: |
edsdoj.b0a27e033df1426daaaa7a6c57751834 |
| Database: |
Directory of Open Access Journals |
