16 citations · 25 across the 5 of their papers we have counts for
11 papers
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Nachiket Deo, Eric M. Wolff, Oscar Beijbom
Accurately predicting the future motion of surrounding vehicles requires reasoning about the inherent uncertainty in driving behavior. This uncertainty can be loosely decoupled int…
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data
Akshay Rangesh, Nachiket Deo, Ross Greer +2
With increasing automation in passenger vehicles, the study of safe and smooth occupant-vehicle interaction and control transitions is key. In this study, we focus on the developme…
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss
Ross Greer, Nachiket Deo, Mohan Trivedi
Predicting a vehicle's trajectory is an essential ability for autonomous vehicles navigating through complex urban traffic scenes. Bird's-eye-view roadmap information provides valu…
Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation
Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi +1
Predicting the trajectories of surrounding agents is an essential ability for autonomous vehicles navigating through complex traffic scenes. The future trajectories of agents can b…
Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids
Daniela Ridel, Nachiket Deo, Denis Wolf +1
Forecasting long-term human motion is a challenging task due to the non-linearity, multi-modality and inherent uncertainty in future trajectories. The underlying scene and past mot…
Scene Induced Multi-Modal Trajectory Forecasting via Planning
Nachiket Deo, Mohan M. Trivedi
We address multi-modal trajectory forecasting of agents in unknown scenes by formulating it as a planning problem. We present an approach consisting of three models; a goal predict…