2 citations · 2 across the 2 of their papers we have counts for
4 papers
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga +2
Trajectory prediction is a safety-critical tool for autonomous vehicles to plan and execute actions. Our work addresses two key challenges in trajectory prediction, learning multim…
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction
Sriram N N, Buyu Liu, Francesco Pittaluga +1
We propose advances that address two key challenges in future trajectory prediction: (i) multimodality in both training data and predictions and (ii) constant time inference regard…
A Hierarchical Network for Diverse Trajectory Proposals
Sriram N. N., Gourav Kumar, Abhay Singh +3
Autonomous explorative robots frequently encounter scenarios where multiple future trajectories can be pursued. Often these are cases with multiple paths around an obstacle or traj…
Gradient Aware - Shrinking Domain based Control Design for Reactive Planning Frameworks used in Autonomous Vehicles
Adarsh Modh, Siddharth Singh, A. V. S. Sai Bhargav Kumar +2
In this paper, we present a novel control law for longitudinal speed control of autonomous vehicles. The key contributions of the proposed work include the design of a control law…