Research

Trajectory Prediction for Autonomous Driving

Vehicle and pedestrian behavior prediction for autonomous driving with a focus on scene multimodal trajectory generation, scene understanding, causal reasoning, and robustness study.
Select papers: [ CVPR24, ICRA24, ICCV23 ]

Pedestrian Behavior Understanding

Human behavior understanding, including psychological studies of pedestrians in traffic and prediction of their trajectories and actions in assistive driving settings.
Datasets: [PIE, JAAD] Select papers: [ICRA23, ICRA22, ICCV21, ICCV19, Trans-ITS19, BMVC19, IV17]

Road User Behavior Simulation

Methods for vehicles and pedestrian behavior simulation using learning based methods and heuristic approaches parameterized based on behavioral studies.
Select papers: [IV23, NeurIPS22, IV22]

Benchmarking and Metrics

Approaches for data subclassing based on observed behaviors, agents' characteristics, and other contextual parameters. These are accompanied by novel metrics for more effective measurement of prediction and perception models' performance.
Select papers: [ICRA24, ICRA24, NeurIPS22, ECCVW18]

Active Visual Search

Take advantage of contextual information and detect areas of importance via attention mechanism to optimize object search process.
Dataset: [3DGEMS] Select papers: [Autonomous Robots20, CRV16, CRV14]

Saliency Prediction

Study the ability of methods for predicting saliency in images.
Dataset: [P³ and O³] Paper: [BMVC19]

Other