activity
20202024
most citedAn Object SLAM Framework for Association, Mapping, and High-Level Tasks

51 citations · 75 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

S3-SLAM: Sparse Tri-plane Encoding for Neural Implicit SLAM

Zhiyao Zhang, Yunzhou Zhang, Yanmin Wu +3

With the emergence of Neural Radiance Fields (NeRF), neural implicit representations have gained widespread applications across various domains, including simultaneous localization…

cs.RO2023★ 51 cited

An Object SLAM Framework for Association, Mapping, and High-Level Tasks

Yanmin Wu, Yunzhou Zhang, Delong Zhu +4

Object SLAM is considered increasingly significant for robot high-level perception and decision-making. Existing studies fall short in terms of data association, object representat…

cs.CV2023★ 1 cited

BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap

You Shen, Yunzhou Zhang, Yanmin Wu +4

The progress of LiDAR-based 3D object detection has significantly enhanced developments in autonomous driving and robotics. However, due to the limitations of LiDAR sensors, object…

cs.RO2023★ 2 cited

FR-LIO: Fast and Robust Lidar-Inertial Odometry by Tightly-Coupled Iterated Kalman Smoother and Robocentric Voxels

Jun Liu, Yunzhou Zhang, Xiaoyu Zhao +1

This paper presents a fast lidar-inertial odometry (LIO) that is robust to aggressive motion. To achieve robust tracking in aggressive motion scenes, we exploit the continuous scan…

cs.RO2020★ 21 cited

Object SLAM-Based Active Mapping and Robotic Grasping

Yanmin Wu, Yunzhou Zhang, Delong Zhu +5

This paper presents the first active object mapping framework for complex robotic manipulation and autonomous perception tasks. The framework is built on an object SLAM system inte…