IMO, this paper presents the first SLAM dataset with ground truth assessment. It also features a lidar inertial localization method based on forward backward smoothing, and rigour sensor synchronization and calibration schemes.
IMO, this paper presents the first lidar-camera portable mapping system on an Android phone. We did thorough calibration, synchronization, and mapping tests. The prototype is shown at here.
IMO, this paper presents an attention-based feature fusion method to get deep descriptors for 4D radar place recognition, tested on both TI short range radars and SNAIL radar dataset.
A comprehensive survey effort including a variety of simulation and real data tests, revealing camera calibration limits.
Thanks to my fabulous collaborators, we are honored to hold a workshop in CVPR 2023 on photogrammetry and computer vision. For more info, please consult here.
The deadline to submit a paper to the workshop is Mar 6 2023.
Accepted papers by the workshop will be included in the CVPR2023 proceedings :).
With three months of hard work, our work surfaces on Optics Letters. The idea is to calibrate the rolling shutter effect by making use of the same duration principle, regardless of camera misalignment and lens distortion.