Paper : An approach for UAV indoor obstacle avoidance based on AI technique with ensemble of ResNet8
and Res-DQN
. Public in 11/2019 - NICS Conference.
This repo is source of paper with title above, you can find it in the link below: Link paper: (https://ieeexplore.ieee.org/document/9023811)
[cite]: Duc Nam-Tran, et al. "An approach for UAV indoor obstacle avoidance based on AI technique with ensemble of ResNet8 and Res-DQN." 2019 6th NAFOSTED Conference on Information and Computer Science (NICS). IEEE, 2019.
├── controller
├── resnet8
├── utils
├── main.py
├── README.md
Require: Python3, Tensorflow 1.15 Simulator: AirSim
Clone source code from github:
git clone https://github.com/namtranase/airsim_UAV_indoor_obstacle_avoidance.git
cd airsim_UAV_indoor_obstacle_avoidance
python3 main.py
If you have any question, just contact me directly!