Loading...
Loading...
Available on 1 platform
Sign in to view source links and access this dataset
A 23.5 GB dataset for visual teach-and-repeat (VTR) navigation designed to operate robustly in environments with variable or low light levels. The data, authored by Fuhai Ling and last updated in May 2026, supports a framework integrating deep-learned descriptors, stereo imaging, and event-based cameras. Experiments demonstrate the system's performance in night-time urban environments for both indoor and outdoor navigation.
The dataset is packaged as a 23.5 GB ZIP file, requiring sufficient storage and bandwidth for download and extraction.