We are excited to be part of the Robust Vision Challenge 2020. Check out the challenge website and our submission instructions for further details
Welcome to the HD1K Benchmark Suite, an autnonomous driving dataset and benchmark for optical flow. This dataset was created by the Heidelberg Collaboratory for Image Processing in close cooperation with Robert Bosch GmbH.
For the public training dataset, we provide:
Your email will only be used to send you the download links and to keep you informed about updates and bugfixes.
The data was captured in a controlled environment with systematic variation of traffic scenarios, weather, and lighting conditions. The data was acquired at a frame rate of 200Hz with a resolution of 2560x1080.
diverse traffic scenarios
dawn and night scenes
lens flare and reflections
raindrops on windshield
We provide ground truth with uncertainties for optical flow. Creating flow ground truth for real world images is a measurement task and is therefore never perfectly accurate. We propagate measurement uncertainties through the data generation pipeline to obtain per-pixel flow distributions. The interquartile ranges of these distributions are reported as uncertainties.
optical flow ground truth
optical flow uncertainty
We evaluate average performance across all scenes and specific performance for challenging frame types such as darkness or direct sunlight.
