Speeding up deep neural network-based planning of local car maneuvers via efficient B-spline path construction-Reference-Cited by-同舟云学术

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Speeding up deep neural network-based planning of local car maneuvers via efficient B-spline path construction

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
language:
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Author:

Kicki Piotr¹,Skrzypczynski Piotr¹

Affiliation:

1. Institute of Robotics and Machine Intelligence, Poz-nan University of Technology,Poznan,Poland,60-965

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812313.pdf?arnumber=9812313

Reference35 articles.

1. Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles

2. A Practical Guide to Splines

3. Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles

4. Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination

5. Informed Sampling for Asymptotically Optimal Path Planning

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks;IEEE Transactions on Robotics;2024

2. DNFOMP: Dynamic Neural Field Optimal Motion Planner for Navigation of Autonomous Robots in Cluttered Environment;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

3. On Path Regression with Extreme Learning and the Linear Configuration Space;2022 Sixth IEEE International Conference on Robotic Computing (IRC);2022-12

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