Background to Deep Learning Based Monocular Obstacle
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Unmanned Aerial Vehicles (UAVs) have been widely used in precision farming and identified as one of the most efficient robots ... In this video, we will be discussing the MiDAS paper, Depth Anything V1, and the latest Depth Anything V2 paper! We are going to ... Paper: Citation: Lee, H. Y., Ho, H. W., & Zhou, Y. (2021). Deep Learning based Drone Tracking by an Autonomous UAV using a Monocular Camera Status: IEEE ACCESS, 2024, accepted. * Title: Dynamic Obstacle avoidance for flapping-wing UAV using bio-inspired monocular perception and DRL
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Deep Learning based Monocular Obstacle Avoidance for Unmanned Aerial Vehicle Navigation in tree Plan
Monocular Depth Estimation Using Deep Learning 2 (Self-Supervised With No Depth Labels)
Deep Learning based Drone Tracking by an Autonomous UAV using a Monocular Camera
Grid-edge-depth-map based obstacle Avoidance
Dynamic Obstacle Avoidance for an MAV UsingOptimization-based Trajectory Prediction
Real-time Obstacle Avoidance Demo Based on Monocular Vision
Active Motion-Based Communication for Robots with Monocular Vision
Obstacle avoidance for flapping-wing UAV using bio-inspired monocular perception and DRL
The first experiment of Monocular Depth Estimation through deep learning over a quadruped robot.
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Last Updated: June 25, 2026
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