activity
20152024
most citedSegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud

4 citations · 12 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024★ 4 cited

SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud

Neng Wang, Ruibin Guo, Chenghao Shi +5

4D LiDAR semantic segmentation, also referred to as multi-scan semantic segmentation, plays a crucial role in enhancing the environmental understanding capabilities of autonomous v…

cs.RO2023★ 1 cited

Hybrid Map-Based Path Planning for Robot Navigation in Unstructured Environments

Jiayang Liu, Xieyuanli Chen, Junhao Xiao +3

Fast and accurate path planning is important for ground robots to achieve safe and efficient autonomous navigation in unstructured outdoor environments. However, most existing meth…

cs.RO2023

ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data

Wenbang Deng, Kaihong Huang, Qinghua Yu +3

Open-world Instance Segmentation (OIS) is a challenging task that aims to accurately segment every object instance appearing in the current observation, regardless of whether these…

cs.CV2023★ 2 cited

InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data

Neng Wang, Chenghao Shi, Ruibin Guo +3

Identifying moving objects is a crucial capability for autonomous navigation, consistent map generation, and future trajectory prediction of objects. In this paper, we propose a no…

cs.IT2016★ 1 cited

Edge Agreement of Second-order Multi-agent System with Dynamic Quantization via Directed Edge Laplacian

Zhiwen Zeng, Xiangke Wang, Zhiqiang Zheng +1

This work explores the edge agreement problem of second-order multi-agent system with dynamic quantization under directed communication. To begin with, by virtue of the directed ed…

eess.SY2015★ 1 cited

Convergence Analysis using the Edge Laplacian: Robust Consensus of Nonlinear Multi-agent Systems via ISS Method

Zhiwen Zeng, Xiangke Wang, Zhiqiang Zheng

This study develops an original and innovative matrix representation with respect to the information flow for networked multi-agent system. To begin with, the general concepts of t…

eess.SY2015★ 3 cited

Edge Agreement of Multi-agent System with Quantized Measurements via the Directed Edge Laplacian

Zhiwen Zeng, Xiangke Wang, Zhiqiang Zheng

This work explores the edge agreement problem of second-order nonlinear multi-agent system under quantized measurements. Under the edge agreement framework, we introduce an importa…