most citedMCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception

4 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2024

HD-maps as Prior Information for Globally Consistent Mapping in GPS-denied Environments

Waqas Ali, Patric Jensfelt, Thien-Minh Nguyen

In recent years, prior maps have become a mainstream tool in autonomous navigation. However, commonly available prior maps are still tailored to control-and-decision tasks, and the…

cs.RO20241 cited

I2EKF-LO: A Dual-Iteration Extended Kalman Filter Based LiDAR Odometry

Wenlu Yu, Jie Xu, Chengwei Zhao +5

LiDAR odometry is a pivotal technology in the fields of autonomous driving and autonomous mobile robotics. However, most of the current works focus on nonlinear optimization method…

cs.RO2024

HCTO: Optimality-Aware LiDAR Inertial Odometry with Hybrid Continuous Time Optimization for Compact Wearable Mapping System

Jianping Li, Shenghai Yuan, Muqing Cao +3

Compact wearable mapping system (WMS) has gained significant attention due to their convenience in various applications. Specifically, it provides an efficient way to collect prior…

cs.RO20244 cited

MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception

Thien-Minh Nguyen, Shenghai Yuan, Thien Hoang Nguyen +8

Perception plays a crucial role in various robot applications. However, existing well-annotated datasets are biased towards autonomous driving scenarios, while unlabelled SLAM data…

cs.RO20241 cited

A Cost-Effective Cooperative Exploration and Inspection Strategy for Heterogeneous Aerial System

Xinhang Xu, Muqing Cao, Shenghai Yuan +3

In this paper, we propose a cost-effective strategy for heterogeneous UAV swarm systems for cooperative aerial inspection. Unlike previous swarm inspection works, the proposed meth…

cs.RO2023

Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning

Pengyu Yin, Haozhi Cao, Thien-Minh Nguyen +4

One-shot LiDAR localization refers to the ability to estimate the robot pose from one single point cloud, which yields significant advantages in initialization and relocalization p…