Obstacle Avoidance Strategy using Onboard Stereo Vision on a Flapping Wing MAV

@article{Tijmons2017ObstacleAS,
  title={Obstacle Avoidance Strategy using Onboard Stereo Vision on a Flapping Wing MAV},
  author={Sjoerd Tijmons and Guido C. H. E. de Croon and Bart D. W. Remes and C. De Wagter and Max Mulder},
  journal={IEEE Transactions on Robotics},
  year={2017},
  volume={33},
  pages={858-874}
}
  • Sjoerd Tijmons, Guido C. H. E. de Croon, +2 authors Max Mulder
  • Published in IEEE Transactions on Robotics 2017
  • Computer Science, Mathematics
  • The development of autonomous lightweight MAVs, capable of navigating in unknown indoor environments, is one of the major challenges in robotics. The complexity of this challenge comes from constraints on weight and power consumption of onboard sensing and processing devices. In this paper, we propose the “Droplet” strategy, an avoidance strategy based on stereo vision inputs that outperforms reactive avoidance strategies by allowing constant speed maneuvers while being computationally… CONTINUE READING

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