Kaustab Pal — accepted AI-conference papers

2024

ATPPNet: Attention based Temporal Point cloud Prediction Network

Kaustab Pal, Aditya Sharma, Avinash Sharma, K. Madhava Krishna

ICRA 2024poster

Point cloud prediction is an important yet challenging task in the field of autonomous driving. The goal is to predict future point cloud sequences that maintain object structures while accurately representing their temporal motion. These predicted point clouds help in other subsequent tasks like ob…

Cited by 4 Source ↗Scholar ↗

2024

Bi-level Trajectory Optimization on Uneven Terrains with Differentiable Wheel-Terrain Interaction Model

Amith Manoharan, Aditya Sharma, Himani Belsare, Kaustab Pal, K. Madhava Krishna, Arun Kumar Singh

IROS 2024poster

Navigation of wheeled vehicles on uneven terrain necessitates going beyond the 2D approaches for trajectory planning. Specifically, it is essential to incorporate the full 6dof variation of vehicle pose and its associated stability cost in the planning process. To this end, most recent works aim to…

Cited by 3 Source ↗Scholar ↗