research
∙
06/13/2023
Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling
Recent research in pedestrian simulation often aims to develop realistic...
share
research
∙
11/15/2021
A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric
A connected and automated vehicle safety metric determines the performan...
research
∙
10/05/2021
A Formal Characterization of Black-Box System Safety Performance with Scenario Sampling
A typical scenario-based evaluation framework seeks to characterize a bl...
research
∙
07/06/2021
Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving
Avoiding unseen or partially occluded vulnerable road users (VRUs) is a ...
research
∙
04/19/2021
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version)
How many scenarios are sufficient to validate the safe Operational Desig...
research
∙
04/12/2021
Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio-Temporal Attention
Predicting vulnerable road user behavior is an essential prerequisite fo...
research
∙
01/18/2021
On the Generalizability of Motion Models for Road Users in Heterogeneous Shared Traffic Spaces
Modeling mixed-traffic motion and interactions is crucial to assess safe...
research
∙
01/10/2021
Sub-Goal Social Force Model for Collective Pedestrian Motion Under Vehicle Influence
In mixed traffic scenarios, a certain number of pedestrians might coexis...
research
∙
11/03/2020
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion
Learned pointcloud representations do not generalize well with an increa...
research
∙
09/25/2020
A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety
The scenario-based testing of operational vehicle safety presents a set ...
research
∙
07/07/2020
A Vision-based Social Distancing and Critical Density Detection System for COVID-19
Social distancing has been proven as an effective measure against the sp...
research
∙
07/07/2020
A Vision-based Social Distance and Critical Density Detection System for COVID-19
Social distancing has been proven as an effective measure against the sp...
research
∙
06/15/2020
An online evolving framework for advancing reinforcement-learning based automated vehicle control
In this paper, an online evolving framework is proposed to detect and re...
research
∙
05/30/2020
Optical Flow based Visual Potential Field for Autonomous Driving
Monocular vision-based navigation for automated driving is a challenging...
research
∙
05/15/2020
A Multi-State Social Force Based Framework for Vehicle-Pedestrian Interaction in Uncontrolled Pedestrian Crossing Scenarios
Vehicle-pedestrian interaction (VPI) is one of the most challenging task...
research
∙
02/02/2020
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving
Automated driving in urban settings is challenging chiefly due to the in...
research
∙
08/28/2019
An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks
An online evolving framework is proposed to support modeling the safe Au...
research
∙
08/28/2019
Driving Intention Recognition and Lane Change Prediction on the Highway
This paper proposes a framework to recognize driving intentions and to p...
research
∙
02/01/2019
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus
Predicting the collective motion of a group of pedestrians (a crowd) und...
research
∙
11/11/2018
Model predictive trajectory optimization and tracking for on-road autonomous vehicles
Motion planning for autonomous vehicles requires spatio-temporal motion ...
research
∙
04/12/2018
