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A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.

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cadcd_devkit

A devkit for the Canadian Adverse Driving Conditions dataset.

download_cadcd.py

This will download all raw or labeled data into the given folder.

This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

run_demo_vehicle_path.py

This script loads all GPS messages in a drive, converts them to an ENU frame with the origin at the first message and plots each message as an axis frame.

Vehicle path demo

run_demo_tracklets.py

This script loads a camera image and the corresponding 3D annotation file in a drive, loads the calibration data, then creates and projects each cuboid within the frame onto the camera image.

Vehicle path demo

run_demo_lidar.py

This script loads a camera image and the corresponding lidar file in a drive, loads the calibration data, then projects each lidar point onto the camera image. Point color is scaled by depth.

Vehicle path demo

run_demo_lidar_bev.py

This script loads lidar data and the corresponding 3D annotation file in a drive, then creates a birds eye view of the lidar point cloud with the cuboid boxes overlaid.

Vehicle path demo

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A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.

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  • Python 100.0%