Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning

09/17/2021

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There is a risk of collision when multiple UAVs land simultaneously without communication on the same platform. This work accomplishes vision-based autonomous landing and uses a deep-learning-based method to realize collision avoidance during the landing process.

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Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning

Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation

Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU

Training Detection-Range-Frugal Cooperative Collision Avoidance Models for Quadcopters via Neuroevolution

Leveraging synthetic imagery for collision-at-sea avoidance

A Perception-Aware NMPC for Vision-Based Target Tracking and Collision Avoidance with a Multi-Rotor UAV

Learning-'N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme

BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving

Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning

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