activity
20232025
most citedLane-Change in Dense Traffic with Model Predictive Control and Neural Networks

34 citations · 49 across the 12 of their papers we have counts for

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13 papers · 1 filter

cs.RO2025

Active Probing with Multimodal Predictions for Motion Planning

Darshan Gadginmath, Farhad Nawaz, Minjun Sung +5

Navigation in dynamic environments requires autonomous systems to reason about uncertainties in the behavior of other agents. In this paper, we introduce a unified framework that c…

cs.RO2025

Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking

Farhad Nawaz, Minjun Sung, Darshan Gadginmath +6

Safe and efficient path planning in parking scenarios presents a significant challenge due to the presence of cluttered environments filled with static and dynamic obstacles. To ad…

cs.RO2025

Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Driving

Faizan M. Tariq, Zheng-Hang Yeh, Avinash Singh +2

Motivated by the requirements for effectiveness and efficiency, path-speed decomposition-based trajectory planning methods have widely been adopted for autonomous driving applicati…

cs.RO2024

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…

cs.RO2024

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…

cs.RO20241 cited

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…