journal article Jun 01, 2024

An Integrated of Decision Making and Motion Planning Framework for Enhanced Oscillation-Free Capability

View at Publisher Save 10.1109/tits.2023.3332655
Topics

No keywords indexed for this article. Browse by subject →

References
39
[20]
An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors

Peng Hang, Chen Lv, Chao Huang et al.

IEEE Transactions on Vehicular Technology 10.1109/tvt.2020.3040398
[37]
Tian "DL-SLOT: Dynamic LiDAR SLAM and object tracking based on collaborative graph optimization" arXiv:2212.02077 (2022)
Metrics
97
Citations
39
References
Details
Published
Jun 01, 2024
Vol/Issue
25(6)
Pages
5718-5732
License
View
Funding
National Natural Science Foundation of China Award: 52372394
National Key Research and Development Program of China Award: 2022YFE0117100
Cite This Article
Zhuoren Li, Jia Hu, Bo Leng, et al. (2024). An Integrated of Decision Making and Motion Planning Framework for Enhanced Oscillation-Free Capability. IEEE Transactions on Intelligent Transportation Systems, 25(6), 5718-5732. https://doi.org/10.1109/tits.2023.3332655
Related

You May Also Like

Deep Reinforcement Learning for Autonomous Driving: A Survey

B Ravi Kiran, Ibrahim Sobh · 2022

1,706 citations

A Review of Motion Planning Techniques for Automated Vehicles

David Gonzalez, Joshué Pérez · 2016

1,375 citations

Automatic Road Crack Detection Using Random Structured Forests

Yong Shi, Limeng Cui · 2016

1,365 citations

ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation

Eduardo Romera, Jose M. Alvarez · 2018

1,296 citations

Travel-Time Prediction With Support Vector Regression

C.-H. Wu, J.-M. Ho · 2004

1,218 citations