40 citations · 64 across the 10 of their papers we have counts for
10 papers
3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X Orchestration
Haolin Zhang, M S Mekala, Zulkar Nain +3
Edge computing-based 3D perception has received attention in intelligent transportation systems (ITS) because real-time monitoring of traffic candidates potentially strengthens Veh…
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…
On the Generalizability of Motion Models for Road Users in Heterogeneous Shared Traffic Spaces
Fatema T. Johora, Dongfang Yang, Jörg P. Müller +1
Modeling mixed-traffic motion and interactions is crucial to assess safety, efficiency, and feasibility of future urban areas. The lack of traffic regulations, diverse transport mo…
Sub-Goal Social Force Model for Collective Pedestrian Motion Under Vehicle Influence
Dongfang Yang, Fatema T. Johora, Keith A. Redmill +2
In mixed traffic scenarios, a certain number of pedestrians might coexist in a small area while interacting with vehicles. In this situation, every pedestrian must simultaneously r…
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…
Photorealism in Driving Simulations: Blending Generative Adversarial Image Synthesis with Rendering
Ekim Yurtsever, Dongfang Yang, Ibrahim Mert Koc +1
Driving simulators play a large role in developing and testing new intelligent vehicle systems. The visual fidelity of the simulation is critical for building vision-based algorith…
A Multi-State Social Force Based Framework for Vehicle-Pedestrian Interaction in Uncontrolled Pedestrian Crossing Scenarios
Dongfang Yang, Keith Redmill, Umit Ozguner
Vehicle-pedestrian interaction (VPI) is one of the most challenging tasks for automated driving systems. The design of driving strategies for such systems usually starts with verif…
Combining Social Force Model with Model Predictive Control for Vehicle's Longitudinal Speed Regulation in Pedestrian-Dense Scenarios
Dongfang Yang, Ümit Özgüner
In pedestrian-dense traffic scenarios, an autonomous vehicle may have to safely drive through a crowd of pedestrians while the vehicle tries to keep the desired speed as much as po…
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus
Dongfang Yang, Linhui Li, Keith Redmill +1
Predicting the collective motion of a group of pedestrians (a crowd) under the vehicle influence is essential for the development of autonomous vehicles to deal with mixed urban sc…