English

End to end collision avoidance based on optical flow and neural networks

Robotics 2019-11-21 v1 Computer Vision and Pattern Recognition Machine Learning

Abstract

Optical flow is believed to play an important role in the agile flight of birds and insects. Even though it is a very simple concept, it is rarely used in computer vision for collision avoidance. This work implements a neural network based collision avoidance which was deployed and evaluated on a solely for this purpose refitted car.

Keywords

Cite

@article{arxiv.1911.08582,
  title  = {End to end collision avoidance based on optical flow and neural networks},
  author = {Jan Blumenkamp},
  journal= {arXiv preprint arXiv:1911.08582},
  year   = {2019}
}

Comments

Technical Report for project work

R2 v1 2026-06-23T12:21:34.606Z