jeong2/avoid

• URL: https://huggingface.co/datasets/jeong2/avoid
• Dataset url: http://vi.kaist.ac.kr/avoid/avoid.html
• Supplementary video link:
• Dataset embargo: We have our project page available, but the full dataset will be open by the end of September.
• Since our dataset requires a large amount of storage (>500GB and >1TB with additional data), we expect it will take a couple months to setup a stable server.

Data composition / structure train / val / test ├──obstacle_weather_Town01_01_01 ├──|──obstacle_weather_Town01_01_01_route0_04_14_20_18_51 ├──|──|──depth: depth map ├──|──|──label_raw: class, extent, position, yaw, num_points, distance, speed, brake, id, ego_matrix ├──|──|──lidar: LiDAR data ├──|──|──lidar_sem: semantic annotations for LiDAR data ├──|──|──measurements: x, y, theta, speed, target_speed, x_command, y_command, command, waypoints, steer, throttle, brake, weather, junction, vehicle_hazard, light_hazard, walker_hazard, stop_sign_hazard, angle, ego_matrix, ├──|──|──rgb: RGB image (left) ├──|──|──rgb_bev: BEV RGB image ├──|──|──rgb_pair: paired RGB image (Right) ├──|──|──semantics: semantic annotations for RGB image (left) ├──|──|──semantics_bev: semantic annotations for BEV RGB image ├──|──|──topdown: encoded topdown view

##License: The AVOID dataset is published under the CC BY-NC-ND 4.0 License, and all codes are published under the Apache 2.0 License.

Acknowledgement

To be updated

Citation

@misc{
  avoid,
  title={avoid},
  author={},
  year={2023},
  url={}
}