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
∙
05/02/2022
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
State-of-the-art 3D detection methods rely on supervised learning and la...
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
∙
04/25/2021
Temp-Frustum Net: 3D Object Detection with Temporal Fusion
3D object detection is a core component of automated driving systems. St...
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
∙
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
∙
07/31/2020
Blending Generative Adversarial Image Synthesis with Rendering for Computer Graphics
Conventional computer graphics pipelines require detailed 3D models, mes...
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
∙
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
∙
06/12/2019
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Automated driving systems (ADSs) promise a safe, comfortable and efficie...
research
∙
06/07/2019
