학술논문

Monocular-vision-based parking assistance for constrained environment
Document Type
Conference
Source
13th International IEEE Conference on Intelligent Transportation Systems Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on. :617-622 Sep, 2010
Subject
Transportation
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Vehicles
Wheels
Cameras
Driver circuits
Feature extraction
Trajectory
Visualization
Language
ISSN
2153-0009
2153-0017
Abstract
This paper presents a parking assistance system using visual information. The system input is an image taken by a single camera fixed to the vehicle. In the input image, we detect feature points corresponding to parking slots, among the keypoints detected by SIFT algorithm. The vehicle's location is estimated using detected feature points, and the vehicle's motion is expected using state of vehicle's wheels. Then, the system displays where the vehicle is expected to move in the parking lot based on the current location and the current wheel status. The experimental results show that the presented system can assist a driver in parking the vehicle.