[2308.05731v3] The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review
[2308.05731v3] The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review Computer Science > Robotics arXiv:2308.05731v3 (cs) [Submitted on 10 Aug 2023 ( v1 ), last revised 11 Sep 2024 (this version, v3)] Title: The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review Authors: Steffen Hagedorn , Marcel Hallgarten , Martin Stoll , Alexandru Condurache View a PDF of the paper titled The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review, by Steffen Hagedorn and 3 other authors View PDF HTML (experimental) Abstract: Automated driving has the potential to revolutionize personal, public, and freight mobility. Beside accurately perceiving the environment, automated vehicles must plan a safe, comfortable, and efficient motion trajectory.
Abstract page for arXiv paper 2308.05731v3: The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review