6 citations · 9 across the 8 of their papers we have counts for
8 papers
Road Mapping and Localization using Sparse Semantic Visual Features
Wentao Cheng, Sheng Yang, Maomin Zhou +3
We present a novel method for visual mapping and localization for autonomous vehicles, by extracting, modeling, and optimizing semantic road elements. Specifically, our method inte…
OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation
Ziyuan Liu, Wei Liu, Yuzhe Qin +8
In this paper, we propose a cloud-based benchmark for robotic grasping and manipulation, called the OCRTOC benchmark. The benchmark focuses on the object rearrangement problem, spe…
Online Semantic Exploration of Indoor Maps
Ziyuan Liu, Dong Chen, Georg von Wichert
In this paper we propose a method to extract an abstracted floor plan from typical grid maps using Bayesian reasoning. The result of this procedure is a probabilistic generative mo…
Applying Rule-Based Context Knowledge to Build Abstract Semantic Maps of Indoor Environments
Ziyuan Liu, Georg von Wichert
In this paper, we propose a generalizable method that systematically combines data driven MCMC samplingand inference using rule-based context knowledge for data abstraction. In par…
Particle Filter Based Monocular Human Tracking with a 3D Cardbox Model and a Novel Deterministic Resampling Strategy
Ziyuan Liu, Dongheui Lee, Wolfgang Sepp
The challenge of markerless human motion tracking is the high dimensionality of the search space. Thus, efficient exploration in the search space is of great significance. In this…
Table-Top Scene Analysis Using Knowledge-Supervised MCMC
Ziyuan Liu, Dong Chen, Kai M. Wurm +1
In this paper, we propose a probabilistic method to generate abstract scene graphs for table-top scenes from 6D object pose estimates. We explicitly make use of task-specfic contex…
A Generalizable Knowledge Framework for Semantic Indoor Mapping Based on Markov Logic Networks and Data Driven MCMC
Ziyuan Liu, Georg von Wichert
In this paper, we propose a generalizable knowledge framework for data abstraction, i.e. finding compact abstract model for input data using predefined abstract terms. Based on the…
Extracting Semantic Indoor Maps from Occupancy Grids
Ziyuan Liu, Georg von Wichert
The primary challenge for any autonomous system operating in realistic, rather unconstrained scenarios is to manage the complexity and uncertainty of the real world. While it is un…