Search Results for author:
Found 16 papers, 7 papers with code
OmniColor: A Global Camera Pose Optimization Approach of LiDAR-360Camera Fusion for Colorizing Point Clouds
A Colored point cloud, as a simple and efficient 3D representation, has many advantages in various fields, including robotic navigation and scene reconstruction.
LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution
This paper proposes an automatic checkerboard-based approach to calibrate extrinsics between a LiDAR and a frame/event camera, where four contributions are presented.
Comparing Representations in Tracking for Event Camera-based SLAM
This paper investigates two typical image-type representations for event camera-based tracking: time surface (TS) and event map (EM).
Greedy-Based Feature Selection for Efficient LiDAR SLAM
Modern LiDAR-SLAM (L-SLAM) systems have shown excellent results in large-scale, real-world scenarios.
Geometric Structure Aided Visual Inertial Localization
To take the advantages of both, in this work, we present a complete visual inertial localization system based on a hybrid map representation to reduce the computational cost and increase the positioning accuracy.
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
This paper proposes a system to achieve robust and simultaneous extrinsic calibration, odometry, and mapping for multiple LiDARs.
Smart-Inspect: Micro Scale Localization and Classification of Smartphone Glass Defects for Industrial Automation
We present a robust semi-supervised learning framework for intelligent micro-scaled localization and classification of defects on a 16K pixel image of smartphone glass.
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving
To minimize the detrimental effect of extrinsic perturbation, we propagate an uncertainty prior on each point of input point clouds, and use this information to boost an approach for 3D geometric tasks.
The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation
Moreover, many countries have imposed tough lockdown measures to reduce the virus transmission (e. g., retail, catering) during the pandemic, which causes inconveniences for human daily life.
Key Ingredients of Self-Driving Cars
Over the past decade, many research articles have been published in the area of autonomous driving.
Automatic Calibration of Multiple 3D LiDARs in Urban Environments
Multiple LiDARs have progressively emerged on autonomous vehicles for rendering a wide field of view and dense measurements.
A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces
Multiple lidars are prevalently used on mobile vehicles for rendering a broad view to enhance the performance of localization and perception systems.
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
In this paper, we propose a novel road crack detection algorithm based on deep learning and adaptive image segmentation.
Real-Time Dense Stereo Embedded in A UAV for Road Inspection
This makes the damaged road areas more distinguishable from the road surface.
Using DP Towards A Shortest Path Problem-Related Application
We apply the designed model and proposed an algorithm for detecting lanes by formulating it as the shortest path problem.
Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation
Lane detection is very important for self-driving vehicles.
