40 citations · 93 across the 9 of their papers we have counts for
9 papers
Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling
Dianwei Chen, Ekim Yurtsever, Keith Redmill +1
Recent research in pedestrian simulation often aims to develop realistic behaviors in various situations, but it is challenging for existing algorithms to generate behaviors that i…
A Formal Characterization of Black-Box System Safety Performance with Scenario Sampling
Bowen Weng, Linda Capito, Umit Ozguner +1
A typical scenario-based evaluation framework seeks to characterize a black-box system's safety performance (e.g., failure rate) through repeatedly sampling initialization configur…
Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving
Mert Koc, Ekim Yurtsever, Keith Redmill +1
Avoiding unseen or partially occluded vulnerable road users (VRUs) is a major challenge for fully autonomous driving in urban scenes. However, occlusion-aware risk assessment syste…
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version)
Bowen Weng, Linda Capito, Umit Ozguner +1
How many scenarios are sufficient to validate the safe Operational Design Domain (ODD) of an Automated Driving System (ADS) equipped vehicle? Is a more significant number of sample…
Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio-Temporal Attention
Dongfang Yang, Haolin Zhang, Ekim Yurtsever +2
Predicting vulnerable road user behavior is an essential prerequisite for deploying Automated Driving Systems (ADS) in the real-world. Pedestrian crossing intention should be recog…
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion
Haolin Zhang, Dongfang Yang, Ekim Yurtsever +2
Learned pointcloud representations do not generalize well with an increase in distance to the sensor. For example, at a range greater than 60 meters, the sparsity of lidar pointclo…
A Vision-based Social Distancing and Critical Density Detection System for COVID-19
Dongfang Yang, Ekim Yurtsever, Vishnu Renganathan +2
Social distancing has been proven as an effective measure against the spread of the infectious COronaVIrus Disease 2019 (COVID-19). However, individuals are not used to tracking th…
Distributed Model Predictive Control of Spatially Interconnected Systems Using Switched Cost Functions
Peng Liu, Umit Ozguner
This note proposes a distributed model predictive control (DMPC) scheme with switched cost functions for a class of spatially interconnected systems with communication constraints.…
A Hands-on Education Program on Cyber Physical Systems for High School Students
Vijay Gadepally, Ashok Krishnamurthy, Umit Ozguner
Cyber Physical Systems (CPS) are the conjoining of an entities' physical and computational elements. The development of a typical CPS system follows a sequence from conceptual mode…