activity
20222024
most citedLane-Change in Dense Traffic with Model Predictive Control and Neural Networks

34 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY202434 cited

Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks

Sangjae Bae, David Isele, Alireza Nakhaei +5

This paper presents an online smooth-path lane-change control framework. We focus on dense traffic where inter-vehicle space gaps are narrow, and cooperation with surrounding drive…

cs.CV2023

Object-centric Video Representation for Long-term Action Anticipation

Ce Zhang, Changcheng Fu, Shijie Wang +4

This paper focuses on building object-centric representations for long-term action anticipation in videos. Our key motivation is that objects provide important cues to recognize an…

cs.CV2023

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning

Enna Sachdeva, Nakul Agarwal, Suhas Chundi +5

The widespread adoption of commercial autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) may largely depend on their acceptance by society, for which their per…

cs.CV2023

Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction

Yi Xu, Armin Bazarjani, Hyung-gun Chi +2

Trajectory prediction is a crucial undertaking in understanding entity movement or human behavior from observed sequences. However, current methods often assume that the observed s…

cs.RO2022

DIDER: Discovering Interpretable Dynamically Evolving Relations

Enna Sachdeva, Chiho Choi

Effective understanding of dynamically evolving multiagent interactions is crucial to capturing the underlying behavior of agents in social systems. It is usually challenging to ob…