Vision and LIDAR Feature Extraction
نویسنده
چکیده
In this project we will discuss about methods of extracting stable features for camera and laser range finder in order to use these features in SLAM. The methods including dot-product feature extractor and line segment feature extractor for laser range finder, corner feature extractor for camera images. The robot platform we work on is the Segway
منابع مشابه
Aerial Images and Lidar Data Fusion for Automatic Feature Extraction Using the Self-organizing Map (som) Classifier
This paper presents work on the development of automatic feature extraction from multispectral aerial images and lidar data based on test data from two different study areas with different characteristics. First, we filtered the lidar point clouds to generate a Digital Terrain Model (DTM) using a novel filtering technique based on a linear first-order equation which describes a tilted plane sur...
متن کاملA Review of Optical Imagery and Airborne LiDAR Data Registration Methods
Representing a scene completely from remote sensing data requires both spectral and 3-D-surface information. Integration of spectral information from optical images and 3-D-surface information from LiDAR is important in a number of remote sensing applications such as feature extraction, image classification, image analysis, building extraction, 3-D city modelling, canopy modelling etc. Therefor...
متن کاملAutomatic Road Extraction from Airborne LiDAR : A Review
LiDAR is the powerful Remote Sensing Technology for the acquisition of 3D information from terrain surface. This paper surveys the state of the art on automated road feature extraction from airborne Light Detection and Ranging (LiDAR) data. It presents a bibliography of nearly 50 references related to this topic. This includes work related to various main approaches used for extracting road fro...
متن کاملReal-Time Motion Tracking for Indoor Moving Sphere Objects with a LiDAR Sensor
Object tracking is a crucial research subfield in computer vision and it has wide applications in navigation, robotics and military applications and so on. In this paper, the real-time visualization of 3D point clouds data based on the VLP-16 3D Light Detection and Ranging (LiDAR) sensor is achieved, and on the basis of preprocessing, fast ground segmentation, Euclidean clustering segmentation ...
متن کاملData Filtering and Feature Extraction of Urban Typical Objects from Airborne Lidar Point Cloud
The research in the detection and feature extraction of typical objects in urban areas has intensified. In existing detection technologies, it has been shown that the LIDAR technique is very promising and suitable for 3D object detection mainly because 3D sub-randomly spatial distributed point cloud represented the object’s geometrical structure can be obtained easily and instantly. In this pap...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010