13 citations · 14 across the 4 of their papers we have counts for
10 papers · 1 filter
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…
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…
Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios
Kyoungtae Ji, Sangjae Bae, Nan Li +1
This paper presents a game-theoretic strategy for racing, where the autonomous ego agent seeks to block a racing opponent that aims to overtake the ego agent. After a library of tr…
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…