Automatic Road Survey by Using Vehicle Mounted Laser for Road Asset Management
نویسندگان
چکیده
منابع مشابه
Segmentation of Road Edges from a Vehicle-mounted Imaging Radar
This work treats a problem arising in intelligent vehicles and highway systems (IVHS), specifically in automatic road following,collisionavoidance, and maneuver control. A millimeter-wave radar is placed on the front of the vehicle and an image of the radar backscatter of the terrain is acquired in polar coordinates. This image contains both road and offroad scatter components which must be seg...
متن کاملDevelopment of a vehicle-mounted road surface 3D measurement system
In recent years, automation system based on IT technology becomes very popular not only for manufacturing industries but also for the construction and civil engineering industries. The conventional location survey method in the civil engineering construction site is pinpoint location survey for a broad objective area. The conventional method has severe constraints when it comes to measure the b...
متن کاملKnowledge Asset Road Maps
This paper describes how AIAI has used the ideas and techniques behind Technology Road Maps in order to provide a framework for developing Knowledge Asset Road Maps to support knowledge management initiatives. By carefully relating knowledge management actions upwards to business objectives and strategies, and downwards to specific knowledge assets, a co-ordinated picture of the various parts o...
متن کاملAutomatic Road Centerline Extraction from Imagery Using Road GPS Data
Road centerline extraction from imagery constitutes a key element in numerous geospatial applications, which has been addressed through a variety of approaches. However, most of the existing methods are not capable of dealing with challenges such as different road shapes, complex scenes, and variable resolutions. This paper presents a novel method for road centerline extraction from imagery in ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2994470