69 citations · 97 across the 24 of their papers we have counts for
24 papers
Accelerating Large-scale Bundle Adjustment for LiDAR Mapping via Parallel Computing
Yixi Cai, Rundong Li, Yuhan Xie +3
LiDAR bundle adjustment is widely utilized in mapping to construct globally consistent point cloud maps. In this paper, we propose the first fully parallel computing framework to a…
Risk-Aware Belief Control Barrier Functions over Random Finite Sets
Shaohang Han, Gang Chen, Yixi Cai +5
Ensuring robot safety in unknown, dynamic environments is a fundamental requirement. It involves inferring the states of an unknown and time-varying number of moving objects from n…
D-BDM: A Direct and Efficient Boundary-Based Occupancy Grid Mapping Framework for LiDARs
Benxu Tang, Yixi Cai, Fanze Kong +2
Efficient and scalable 3D occupancy mapping is essential for autonomous robot applications in unknown environments. However, traditional occupancy grid representations suffer from…
Memory-Efficient Boundary Map for Large-Scale Occupancy Grid Mapping
Benxu Tang, Yunfan Ren, Yixi Cai +6
Determining the occupancy status of locations in the environment is a fundamental task for safety-critical robotic applications. Traditional occupancy grid mapping methods subdivid…
A Survey on LiDAR-based Autonomous Aerial Vehicles
Yunfan Ren, Yixi Cai, Haotian Li +6
This survey offers a comprehensive overview of recent advancements in LiDAR-based autonomous Unmanned Aerial Vehicles (UAVs), covering their design, perception, planning, and contr…
Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games
Alejandro Sanchez Roncero, Yixi Cai, Olov Andersson +1
In this letter we study 1v1 quadrotor pursuit-evasion, where a pursuer and an evader are trained via reinforcement learning (RL) by competing against each other. Such adversarial s…
Efficient Swept Volume-Based Trajectory Generation for Arbitrary-Shaped Ground Robot Navigation
Yisheng Li, Longji Yin, Yixi Cai +6
Navigating an arbitrary-shaped ground robot safely in cluttered environments remains a challenging problem. The existing trajectory planners that account for the robot's physical g…
Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation
Ziliang Miao, Runjian Chen, Yixi Cai +5
Moving object segmentation (MOS) on LiDAR point clouds is crucial for autonomous systems like self-driving vehicles. Previous supervised approaches rely heavily on costly manual an…
Efficient and Distributed Large-Scale Point Cloud Bundle Adjustment via Majorization-Minimization
Rundong Li, Zheng Liu, Hairuo Wei +3
Point cloud bundle adjustment is critical in large-scale point cloud mapping. However, it is both computationally and memory intensive, with its complexity growing cubically as the…
FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation
Bingyang Zhou, Chunran Zheng, Ziming Wang +3
This paper presents a lightweight LiDAR-inertial-visual odometry system optimized for resource-constrained platforms. It integrates a degeneration-aware adaptive visual frame selec…
Autonomous Tail-Sitter Flights in Unknown Environments
Guozheng Lu, Yunfan Ren, Fangcheng Zhu +5
Trajectory generation for fully autonomous flights of tail-sitter unmanned aerial vehicles (UAVs) presents substantial challenges due to their highly nonlinear aerodynamics. In thi…
Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms
Fangcheng Zhu, Yunfan Ren, Longji Yin +8
Aerial swarm systems possess immense potential in various aspects, such as cooperative exploration, target tracking, search and rescue. Efficient, accurate self and mutual state es…
LiDAR-based Quadrotor for Slope Inspection in Dense Vegetation
Wenyi Liu, Yunfan Ren, Rui Guo +6
This work presents a LiDAR-based quadrotor system for slope inspection in dense vegetation environments. Cities like Hong Kong are vulnerable to climate hazards, which often result…
LVBA: LiDAR-Visual Bundle Adjustment for RGB Point Cloud Mapping
Rundong Li, Xiyuan Liu, Haotian Li +4
Point cloud maps with accurate color are crucial in robotics and mapping applications. Existing approaches for producing RGB-colorized maps are primarily based on real-time localiz…
Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems
Jianheng Liu, Chunran Zheng, Yunfei Wan +3
This paper presents a unified surface reconstruction and rendering framework for LiDAR-visual systems, integrating Neural Radiance Fields (NeRF) and Neural Distance Fields (NDF) to…
Perch a quadrotor on planes by the ceiling effect
Yuying Zou, Haotian Li, Yunfan Ren +5
Perching is a promising solution for a small unmanned aerial vehicle (UAV) to save energy and extend operation time. This paper proposes a quadrotor that can perch on planar struct…
Occupancy Grid Mapping without Ray-Casting for High-resolution LiDAR Sensors
Yixi Cai, Fanze Kong, Yunfan Ren +3
Occupancy mapping is a fundamental component of robotic systems to reason about the unknown and known regions of the environment. This article presents an efficient occupancy mappi…
ROG-Map: An Efficient Robocentric Occupancy Grid Map for Large-scene and High-resolution LiDAR-based Motion Planning
Yunfan Ren, Yixi Cai, Fangcheng Zhu +2
Recent advances in LiDAR technology have opened up new possibilities for robotic navigation. Given the widespread use of occupancy grid maps (OGMs) in robotic motion planning, this…
ImMesh: An Immediate LiDAR Localization and Meshing Framework
Jiarong Lin, Chongjiang Yuan, Yixi Cai +5
In this paper, we propose a novel LiDAR(-inertial) odometry and mapping framework to achieve the goal of simultaneous localization and meshing in real-time. This proposed framework…
Trajectory Generation and Tracking Control for Aggressive Tail-Sitter Flights
Guozheng Lu, Yixi Cai, Nan Chen +3
We address the theoretical and practical problems related to the trajectory generation and tracking control of tail-sitter UAVs. Theoretically, we focus on the differential flatnes…
MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs
Fanze Kong, Xiyuan Liu, Benxu Tang +6
The emergence of low-cost, small form factor and light-weight solid-state LiDAR sensors have brought new opportunities for autonomous unmanned aerial vehicles (UAVs) by advancing n…
FAST-LIO2: Fast Direct LiDAR-inertial Odometry
Wei Xu, Yixi Cai, Dongjiao He +2
This paper presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry framework. Building on a highly efficient tightly-coupled iterated Kalman filter, FAST-LIO2 has…
ikd-Tree: An Incremental K-D Tree for Robotic Applications
Yixi Cai, Wei Xu, Fu Zhang
This paper proposes an efficient data structure, ikd-Tree, for dynamic space partition. The ikd-Tree incrementally updates a k-d tree with new coming points only, leading to much l…
Robots State Estimation and Observability Analysis Based on Statistical Motion Models
Wei Xu, Dongjiao He, Yixi Cai +1
This paper presents a generic motion model to capture mobile robots' dynamic behaviors (translation and rotation). The model is based on statistical models driven by white random p…