2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2023
Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks
Prashant Kumar, Dheeraj Vattikonda, Vedang Bhupesh Shenvi Nadkarni +2
We investigate a new paradigm that uses differentiable SLAM architectures in a self-supervised manner to train end-to-end deep learning models in various LiDAR based applications.…
cs.CV2021★ 2 cited
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder
Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah +5
Accurate reconstruction of static environments from LiDAR scans of scenes containing dynamic objects, which we refer to as Dynamic to Static Translation (DST), is an important area…