3 papers
cs.CV2025
SLACK: Attacking LiDAR-based SLAM with Adversarial Point Injections
Prashant Kumar, Dheeraj Vattikonda, Kshitij Madhav Bhat +2
The widespread adoption of learning-based methods for the LiDAR makes autonomous vehicles vulnerable to adversarial attacks through adversarial \textit{point injections (PiJ)}. It…
cs.RO2023
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
Prashant Kumar, Kshitij Madhav Bhat, Vedang Bhupesh Shenvi Nadkarni +1
Sparse LiDAR point clouds cause severe loss of detail of static structures and reduce the density of static points available for navigation. Reduced density can be detrimental to n…
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.…