activity
20172024
most citedVINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

4.7k citations · 6.6k across the 79 of their papers we have counts for

collaborators
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52 papers · 1 filter

cs.RO2024★ 64 cited

Adaptive Tracking and Perching for Quadrotor in Dynamic Scenarios

Yuman Gao, Jialin Ji, Qianhao Wang +7

Perching on the moving platforms is a promising solution to enhance the endurance and operational range of quadrotors, which could benefit the efficiency of a variety of air-ground…

cs.RO2023★ 53 cited

AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation

Haojia Li, Haokun Wang, Chen Feng +3

The robotics community is increasingly interested in autonomous aerial transportation. Unmanned aerial vehicles with suspended payloads have advantages over other systems, includin…

cs.RO2023★ 2 cited

MARC: Multipolicy and Risk-aware Contingency Planning for Autonomous Driving

Tong Li, Lu Zhang, Sikang Liu +1

Generating safe and non-conservative behaviors in dense, dynamic environments remains challenging for automated vehicles due to the stochastic nature of traffic participants' behav…

cs.RO2023

Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap

Zhijian Qiao, Zehuan Yu, Huan Yin +1

Global point cloud registration is essential in many robotics tasks like loop closing and relocalization. Unfortunately, the registration often suffers from the low overlap between…

cs.RO2023

Online Monocular Lane Mapping Using Catmull-Rom Spline

Zhijian Qiao, Zehuan Yu, Huan Yin +1

In this study, we introduce an online monocular lane mapping approach that solely relies on a single camera and odometry for generating spline-based maps. Our proposed technique mo…

cs.RO2023

Multi-Session, Localization-oriented and Lightweight LiDAR Mapping Using Semantic Lines and Planes

Zehuan Yu, Zhijian Qiao, Liuyang Qiu +2

In this paper, we present a centralized framework for multi-session LiDAR mapping in urban environments, by utilizing lightweight line and plane map representations instead of wide…

cs.RO2023

BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction

Yiyao Zhu, Di Luan, Shaojie Shen

Predicting future trajectories of surrounding agents is essential for safety-critical autonomous driving. Most existing work focuses on predicting marginal trajectories for each ag…

cs.RO2023★ 41 cited

H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation

Chenxing Jiang, Hanwen Zhang, Peize Liu +4

Constructing a high-quality dense map in real-time is essential for robotics, AR/VR, and digital twins applications. As Neural Radiance Field (NeRF) greatly improves the mapping pe…

cs.RO2023

Parallel Optimization with Hard Safety Constraints for Cooperative Planning of Connected Autonomous Vehicles

Zhenmin Huang, Haichao Liu, Shaojie Shen +1

The development of connected autonomous vehicles (CAVs) facilitates the enhancement of traffic efficiency in complicated scenarios. In unsignalized roundabout scenarios, difficulti…

cs.RO2023★ 42 cited

Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation

Binqian Jiang, Shaojie Shen

This paper proposes \textit{Contour Context}, a simple, effective, and efficient topological loop closure detection pipeline with accurate 3-DoF metric pose estimation, targeting t…

cs.RO2023★ 31 cited

PredRecon: A Prediction-boosted Planning Framework for Fast and High-quality Autonomous Aerial Reconstruction

Chen Feng, Haojia Li, Fei Gao +2

Autonomous UAV path planning for 3D reconstruction has been actively studied in various applications for high-quality 3D models. However, most existing works have adopted explore-t…

cs.RO2023★ 3 cited

A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems

Huan Yin, Xuecheng Xu, Sha Lu +5

Knowledge about the own pose is key for all mobile robot applications. Thus pose estimation is part of the core functionalities of mobile robots. Over the last two decades, LiDAR s…

cs.RO2023

Catch Planner: Catching High-Speed Targets in the Flight

Huan Yu, Pengqin Wang, Jin Wang +8

Catching high-speed targets in the flight is a complex and typical highly dynamic task. In this paper, we propose Catch Planner, a planning-with-decision scheme for catching. For s…

cs.RO2023

Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM

Zhenmin Huang, Shaojie Shen, Jun Ma

Developments in cooperative trajectory planning of connected autonomous vehicles (CAVs) have gathered considerable momentum and research attention. Generally, such problems present…

cs.RO2022

SemanticLoop: loop closure with 3D semantic graph matching

Junfeng Yu, Shaojie Shen

Loop closure can effectively correct the accumulated error in robot localization, which plays a critical role in the long-term navigation of the robot. Traditional appearance-based…

cs.RO2022★ 2 cited

SLAM: Decentralized and Distributed Collaborative Visual-inertial SLAM System for Aerial Swarm

Hao Xu, Peize Liu, Xinyi Chen +1

Collaborative simultaneous localization and mapping (CSLAM) is essential for autonomous aerial swarms, laying the foundation for downstream algorithms such as planning and control.…

cs.RO2022★ 3 cited

RACER: Rapid Collaborative Exploration with a Decentralized Multi-UAV System

Boyu Zhou, Hao Xu, Shaojie Shen

Although the use of multiple Unmanned Aerial Vehicles (UAVs) has great potential for fast autonomous exploration, it has received far too little attention. In this paper, we presen…

cs.RO2022

Fast 3D Sparse Topological Skeleton Graph Generation for Mobile Robot Global Planning

Xinyi Chen, Boyu Zhou, Jiarong Lin +3

In recent years, mobile robots are becoming ambitious and deployed in large-scale scenarios. Serving as a high-level understanding of environments, a sparse skeleton graph is benef…

cs.RO2022★ 1 cited

An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments

Zhichao Han, Yuwei Wu, Tong Li +8

As a core part of autonomous driving systems, motion planning has received extensive attention from academia and industry. However, real-time trajectory planning capable of spatial…

cs.RO2022

Exploration with Global Consistency Using Real-Time Re-integration and Active Loop Closure

Yichen Zhang, Boyu Zhou, Luqi Wang +1

Despite recent progress of robotic exploration, most methods assume that drift-free localization is available, which is problematic in reality and causes severe distortion of the r…

cs.RO2022

Neither Fast Nor Slow: How to Fly Through Narrow Tunnels

Luqi Wang, Hao Xu, Yichen Zhang +1

Nowadays, multirotors are playing important roles in abundant types of missions. During these missions, entering confined and narrow tunnels that are barely accessible to humans is…

cs.RO2021

Graph-Guided Deformation for Point Cloud Completion

Jieqi Shi, Lingyun Xu, Liang Heng +1

For a long time, the point cloud completion task has been regarded as a pure generation task. After obtaining the global shape code through the encoder, a complete point cloud is g…

cs.RO2021★ 1 cited

Trajectory Prediction with Graph-based Dual-scale Context Fusion

Lu Zhang, Peiliang Li, Jing Chen +1

Motion prediction for traffic participants is essential for a safe and robust automated driving system, especially in cluttered urban environments. However, it is highly challengin…

cs.RO2021

Estimation and Adaption of Indoor Ego Airflow Disturbance with Application to Quadrotor Trajectory Planning

Luqi Wang, Boyu Zhou, Chuhao Liu +1

It is ubiquitously accepted that during the autonomous navigation of the quadrotors, one of the most widely adopted unmanned aerial vehicles (UAVs), safety always has the highest p…