This Dataset is submitted to ICRA2019 Full Day Workshop : Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR.
ViViD is a unconventional visual dataset obtained from poor lighting conditions. Our dataset aims for developing a visual-inertial navigation system free from lighting conditions, with information from a domain out of comparing visible light intensity.
Our data provides normal and poor illumination sequences recorded by thermal, depth, and temporal difference sensor for indoor and outdoor trajectories. We provide these measurements along with inertial sensors and ground truth, for visual-inertial navigation tasks under poor illumination.