1 citations · 3 across the 7 of their papers we have counts for
9 papers
3D Scene Graph Prediction on Point Clouds Using Knowledge Graphs
Yiding Qiu, Henrik I. Christensen
3D scene graph prediction is a task that aims to concurrently predict object classes and their relationships within a 3D environment. As these environments are primarily designed b…
CLiNet: Joint Detection of Road Network Centerlines in 2D and 3D
David Paz, Srinidhi Kalgundi Srinivas, Yunchao Yao +1
This work introduces a new approach for joint detection of centerlines based on image data by localizing the features jointly in 2D and 3D. In contrast to existing work that focuse…
Robust Human Identity Anonymization using Pose Estimation
Hengyuan Zhang, Jing-Yan Liao, David Paz +1
Many outdoor autonomous mobile platforms require more human identity anonymized data to power their data-driven algorithms. The human identity anonymization should be robust so tha…
TridentNetV2: Lightweight Graphical Global Plan Representations for Dynamic Trajectory Generation
David Paz, Hao Xiang, Andrew Liang +1
We present a framework for dynamic trajectory generation for autonomous navigation, which does not rely on HD maps as the underlying representation. High Definition (HD) maps have…
TridentNet: A Conditional Generative Model for Dynamic Trajectory Generation
David Paz, Hengyuan Zhang, Henrik I. Christensen
In recent years, various state of the art autonomous vehicle systems and architectures have been introduced. These methods include planners that depend on high-definition (HD) maps…
Pose Estimation of Specular and Symmetrical Objects
Jiaming Hu, Hongyi Ling, Priyam Parashar +2
In the robotic industry, specular and textureless metallic components are ubiquitous. The 6D pose estimation of such objects with only a monocular RGB camera is difficult because o…
Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
Yunhai Han, Yuhan Liu, David Paz +1
Calibration of sensors is fundamental to robust performance for intelligent vehicles. In natural environments, disturbances can easily challenge calibration. One possibility is to…
Probabilistic Semantic Mapping for Urban Autonomous Driving Applications
David Paz, Hengyuan Zhang, Qinru Li +2
Recent advancements in statistical learning and computational abilities have enabled autonomous vehicle technology to develop at a much faster rate. While many of the architectures…
Autonomous Vehicle Benchmarking using Unbiased Metrics
David Paz, Po-jung Lai, Nathan Chan +2
With the recent development of autonomous vehicle technology, there have been active efforts on the deployment of this technology at different scales that include urban and highway…