Fish exhibit impressive locomotive performance and agility in complex
un...
This paper introduces a novel targetless method for joint intrinsic and
...
Occupancy mapping is a fundamental component of robotic systems to reaso...
Perching is a promising solution for a small unmanned aerial vehicle (UA...
Bundle adjustment (BA) on LiDAR point clouds has been extensively
invest...
Operating unmanned aerial vehicles (UAVs) in complex environments that
f...
In this paper, we propose a novel LiDAR(-inertial) odometry and mapping
...
We address the theoretical and practical problems related to the traject...
The emergence of low-cost, small form factor and light-weight solid-stat...
In this work, we present a novel global descriptor termed stable triangl...
Reconstructing an accurate and consistent large-scale LiDAR point cloud ...
Bundle Adjustment (BA) refers to the problem of simultaneous determinati...
In this paper, we address the problem of online quadrotor whole-body mot...
Accurate self and relative state estimation are the critical preconditio...
Simultaneous localization and mapping (SLAM) are crucial for autonomous
...
In recent years, mobile robots are becoming ambitious and deployed in
la...
The visible capability is critical in many robot applications, such as
i...
To achieve accurate and robust pose estimation in Simultaneous Localizat...
Quadrotors are agile platforms. With human experts, they can perform
ext...
For most LiDAR-inertial odometry, accurate initial state, including temp...
This paper proposes an efficient and probabilistic adaptive voxel mappin...
In this letter, we propose a fast, accurate, and targetless extrinsic
ca...
In this letter, we propose a novel LiDAR-Inertial-Visual sensor fusion
f...
This paper presents FAST-LIO2: a fast, robust, and versatile LiDAR-inert...
We consider the problem of bridging the gap between geometric tracking
c...
Tail-sitter vertical takeoff and landing (VTOL) unmanned aerial vehicles...
In this letter, we present a novel method for automatic extrinsic calibr...
In practical applications, autonomous quadrotors are still facing signif...
In this letter, we propose a robust, real-time tightly-coupled multi-sen...
This paper proposes an efficient data structure, ikd-Tree, for dynamic s...
Error-state Kalman filter is an elegant and effective filtering techniqu...
We propose a framework for bundle adjustment (BA) on sparse lidar points...
This paper presents a computationally efficient and robust LiDAR-inertia...
This paper presents a generic motion model to capture mobile robots' dyn...
LiDAR is playing a more and more essential role in autonomous driving
ve...
High performance lidars are essential in autonomous robots such as
self-...
Commonsense reasoning is an important aspect of building robust AI syste...
Exploiting contacts with environment structures provides extra force sup...
This paper presents a loop closure method to correct the long-term drift...
LiDAR odometry and mapping (LOAM) has been playing an important role in
...
In this paper, we investigate the problem of enabling a drone to fly thr...
To dynamically detect the facial landmarks in the video, we propose a no...