A5049344283- Computer Graphics and Visualization Techniques
- Remote Sensing and LiDAR Applications
- 3D Shape Modeling and Analysis
- GNSS positioning and interference
- Inertial Sensor and Navigation
- Advanced Vision and Imaging
- Astronomical Observations and Instrumentation
- Image Processing and 3D Reconstruction
- Advanced Numerical Analysis Techniques
- Advanced Optical Sensing Technologies
- Robotics and Sensor-Based Localization
Longgang Central Hospital
2021
Nagoya University
2016-2019
The use of 3D LiDAR, which has proven its capabilities in autonomous driving systems, is now expanding into many other fields. sharing and transmission point cloud data from LiDAR sensors broad application prospects robotics. However, due to the sparseness disorderly nature this data, it difficult compress directly a very low volume. A potential solution utilizing raw data. We can rearrange each frame losslessly 2D matrix, making compact orderly. Due special structure texture matrix...
Continuous point cloud data has become very important recently as a key component in the development of autonomous driving technology, and fact indispensable for some applications such obstacle detection. However, large amounts are expensive to store difficult share directly due their volume. Previous studies have explored various methods compressing by converting it into 2D images or using tree-based approaches. In this study, rather than compress directly, we choose packet which is raw...
Point cloud data from LiDAR sensors is the currently basis of most L4 autonomous driving systems. Sharing and storing point clouds will also be important for future applications, such as accident investigation or V2V/V2X networks. Due to huge volume involved, collected over long periods time transmitting in real-time are difficult tasks, making compression an indispensable step before transmitting. Previous streaming methods, octree video compression-based approaches, have difficulty...
Interest in continuous point cloud data has increased rapidly as it becomes more widely used practical applications, such the development of autonomous driving systems. Sharing and storing is currently expensive difficult due to huge volume involved, however. As a result, developing efficient methods compressing become an urgent task. Current compress directly using tree structures or height map-based methods. Taking into consideration specialized requirements driving, [1] we proposed method...
Continuous point cloud data is being used more and widely in practical applications such as mapping, localization object detection autonomous driving systems, but due to the huge volume of involved, sharing storing this currently expensive difficult. One possible solution development efficient methods compressing data. Other researchers have proposed converting 3D into 2D images, or using tree structures store In a previous study targeting streaming data, we an MPEG-like compression method...
A GPS (Global Positioning System)-based compass is designed, which consists of three parts: the pointer, sensor, and controller. Using carrier phase signals from satellites, 1 m long pointer equipped with two receivers can aim to desired direction accuracy less than one degree. baseline rotation method proposed resolve problem integer ambiguities. The classical antenna swap simply a special case method. rotating character provides convenient environment for applying turning technique. Such...