4.7k citations · 6.6k across the 79 of their papers we have counts for
13 papers · 2 filters
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…