LiDAR 3D scanner的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Field and Service Robotics: Results of the 7th International Conference

為了解決LiDAR 3D scanner的問題，作者 這樣論述：

Mechanism Design.- Terrain Modeling and Following Using a Compliant Manipulator for Humanitarian Demining Applications.- Towards Autonomous Wheelchair Systems in Urban Environments.- Tethered Detachable Hook for the Spiderman Locomotion (Design of the Hook and Its Launching Winch).- New Measurement

Concept for Forest Harvester Head.- Expliner - Toward a Practical Robot for Inspection of High-Voltage Lines.- Perception and Control.- Experimental Study of an Optimal-Control- Based Framework for Trajectory Planning, Threat Assessment, and Semi-Autonomous Control of Passenger Vehicles in Hazard Av

oidance Scenarios.- Receding Horizon Model-Predictive Control for Mobile Robot Navigation of Intricate Paths.- Posterior Probability Estimation Techniques Embedded in a Bayes Filter for Vibration-Based Terrain Classification.- Towards Visual Arctic Terrain Assessment.- Tracking and Servoing.- Pedest

rian Detection and Tracking Using Three-Dimensional LADAR Data.- Passive, Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System.- Multiclass Multimodal Detection and Tracking in Urban Environments .- Vision-Based Vehicle Trajectory Following with Constant Time Delay.- L

ocalization.- Radar Scan Matching SLAM Using the Fourier-Mellin Transform.- An Automated Asset Locating System (AALS) with Applications to Inventory Management.- Active SLAM and Loop Prediction with the Segmented Map Using Simplified Models.- Outdoor Downward-Facing Optical Flow Odometry with Commod

ity Sensors.- Place Recognition Using Regional Point Descriptors for 3D Mapping.- Mapping.- Scan-Point Planning and 3-D Map Building for a 3-D Laser Range Scanner in an Outdoor Environment.- Image and Sparse Laser Fusion for Dense Scene Reconstruction.- Relative Motion Threshold for Rejection in ICP

Registration.- Bandit-Based Online Candidate Selection for Adjustable Autonomy.- Applied Imitation Learning for Autonomous Navigation in Complex Natural Terrain.- Underwater Localization and Mapping.- Trajectory Design for Autonomous Underwater Vehicles Based on Ocean Model Predictions for Feature

Tracking.- AUV Benthic Habitat Mapping in South Eastern Tasmania.- Sensor Network Based AUV Localisation.- Experiments in Visual Localisation around Underwater Structures.- Multi-Robot Cooperation.- Leap-Frog Path Design for Multi-Robot Cooperative Localization.- A Location-Based Algorithm for Multi

-Hopping State Estimates within a Distributed Robot Team.- Cooperative AUV Navigation Using a Single Surface Craft.- Multi-Robot Fire Searching in Unknown Environment.- Human Robot Interaction.- Using Virtual Articulations to Operate High-DoF Inspection and Manipulation Motions.- Field Experiment on

Multiple Mobile Robots Conducted in an Underground Mall.- Learning to Identify Users and Predict Their Destination in a Robotic Guidance Application.- Long Term Learning and Online Robot Behavior Adaptation for Individuals with Physical and Cognitive Impairments.- Mining Robotics.- Swing Trajectory

Control for Large Excavators.- The Development of a Telerobotic Rock Breaker.- Camera and LIDAR Fusion for Mapping of Actively Illuminated Subterranean Voids.- Maritime Robotics.- A Communication Framework for Cost-Effective Operation of AUVs in Coastal Regions.- Multi-Robot Collaboration with Rang

e-Limited Communication: Experiments with Two Underactuated ASVs.- A Simple Reactive Obstacle Avoidance Algorithm and Its Application in Singapore Harbor.- Planetary Robotics.- Model Predictive Control for Mobile Robots with Actively Reconfigurable Chassis.- Turning Efficiency Prediction for Skid St

eer Robots Using Single Wheel Testing.- Field Experiments in Mobility and Navigation with a Lunar Rover Prototype.- Rover-Based Surface and Subsurface Modeling for Planetary Exploration.

LiDAR 3D scanner進入發燒排行的影片

三維點雲建模應用於文資數位典藏之研究-以海功號研究船為例

為了解決LiDAR 3D scanner的問題，作者楊書瑋 這樣論述：

Lidar由於精度高，目前廣泛用於對建築物的外觀進行掃描，並可以記錄目標物的三維座標，但地面光達依據建築物外觀的不同，會產生掃描死角，因此常安置於目標物四周的高處，以補足平面無法掃描之死角，若目標物周遭無適當高處，亦無法搭建支架使儀器高度提升，便會在上方產生破損。現今UAV攝影測量技術發展快速，也常作為點雲建模的方式之一，透過UAV進行攝影作業，可以對目標物上方構造進行較完整的拍攝，惟若目標物與周遭相鄰，在目標物的側面則容易產生破損，結合UAV影像及Lidar點雲的優點，可彌補單獨使用Lidar或UAV攝影測量在三維建模之不足。緣此，本研究將無人機攝影測量及地面光達所掃描之點雲結合，透過不同

掃描方式及比例進行比較及匹配，將兩者所獲得之點雲進行色階比對及座標修正，以補足地面光達掃描目標物高處構件點雲缺少不足之問題，將兩者之點雲資料同化後，可做為建築數位典藏、模型建置、長期監測等應用，並提供未來點雲資料掃描一種資料更完善且更可靠的做法。