Reciprocal collision avoidance with acceleration-velocity obstacles
By Jur van den Berg, Jamie Snape, Stephen J. Guy, Dinesh Manocha. IEEE International Conference on Robotics and Automation, 2011
310 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/2141230c14d2b8fa58cc56617a59a14558295c38
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Computer Vision and Pattern Recognition
- Magnus Egerstedt
- Sven Koenig
- T. K. Satish Kumar
- Li Wang
- Jiaoyang Li
- Aaron D. Ames
- Hang Ma
- D. Ferguson
In Control and Systems Engineering
- Magnus Egerstedt
- T. K. Satish Kumar
- Sven Koenig
- Li Wang
- Jiaoyang Li
- Aaron D. Ames
- Hang Ma
- Koushil Sreenath
Citations in the corpus
- Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks (2017, background): “The decentralized planning of collision-free paths has also been studied before in isolation, including with reactive approaches [27] and prioritized approaches [6], but these approaches can result in deadlocks.”
- Perception, Planning, Control, and Coordination for Autonomous Vehicles (2017, unknown): “Recent extensions to the velocity obstacles method have further incorporated acceleration constraints [238], and adjustments for nonholonomic robots [239].”
- Safety Barrier Certificates for Collisions-Free Multirobot Systems (2017, methodology): “A similar idea was pursued in [10], [11], where a so-called “velocity obstacle” method was used to calculate the optimal, safe velocity.”