1 citations · 2 across the 28 of their papers we have counts for
7 papers · 1 filter
Deep Reinforcement Learning for Reach-Avoid-Stay Problems
Gabriel Chenevert, Jingqi Li, Achyuta kannan +2
Reach-Avoid-Stay (RAS) tasks are essential in applications where systems must safely reach a target set and remain within it under all bounded disturbances. Existing approaches eit…
Don't Get Stuck: A Deadlock Recovery Approach
Francesca Baldini, Faizan M. Tariq, Sangjae Bae +1
When multiple agents share space, interactions can lead to deadlocks, where no agent can advance towards its goal. This paper addresses this challenge with a deadlock recovery stra…
Gaussian Lane Keeping: A Robust Prediction Baseline
David Isele, Piyush Gupta, Xinyi Liu +1
Predicting agents' behavior for vehicles and pedestrians is challenging due to a myriad of factors including the uncertainty attached to different intentions, inter-agent interacti…
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
Jinning Li, Jiachen Li, Sangjae Bae +1
Deep learning-based trajectory prediction models for autonomous driving often struggle with generalization to out-of-distribution (OOD) scenarios, sometimes performing worse than s…
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation
Piyush Gupta, David Isele, Sangjae Bae
Real-world driving involves intricate interactions among vehicles navigating through dense traffic scenarios. Recent research focuses on enhancing the interaction awareness of auto…
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization
Lin Song, David Isele, Naira Hovakimyan +1
This paper introduces a novel numerical approach to achieving smooth lane-change trajectories in autonomous driving scenarios. Our trajectory generation approach leverages particle…
Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving
Alexandre Miranda Anon, Sangjae Bae, Manish Saroya +1
Smooth and safe speed planning is imperative for the successful deployment of autonomous vehicles. This paper presents a mathematical formulation for the optimal speed planning of…