Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Uri Iurgel"'
Publikováno v:
2020 5th International Conference on Control and Robotics Engineering (ICCRE).
This paper presents a novel local self-localization approach which formulates the registration problem as a range-Doppler response problem. The proposed registration algorithm utilizes sensor observations in range-Doppler domain in combination with a
Publikováno v:
Procedia - Social and Behavioral Sciences. 48:1254-1263
The aim of this paper is to present a perception platform developed for vehicular safety applications. The work described here is part of the work carried out in the interactIVe project and more specifically inside the PERCEPTION sub project. Interac
Publikováno v:
ITSC
Nowadays, the camera online calibration module has been a fundamental and often requested component in an Advanced Driver Assistance System (ADAS). The proposed system provides an efficient and practical solution to such request, and also shows techn
Publikováno v:
ITSC
Image acquisition is the elementary step on the way to a performing vision-based Driver Assistance System (DAS). Any visual information lost in the capturing process is irretrievably gone. Many application approaches do not consider any influence on
Publikováno v:
2008 IEEE Intelligent Vehicles Symposium.
In this paper we present a time-efficient estimation framework for camera-based pedestrian tracking from a moving host car using a monocular camera. An image processing system processes the camera output to find the location of objects of interest in
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
2007 IEEE International Conference on Vehicular Electronics and Safety.
Automotive radar application is a focus in active traffic safety research activities. And an accurate lateral position estimation from the leading target vehicle through radar is of great interest. This paper presents a method based on the regression
Autor:
Su-Birm Park, Uri Iurgel, Anton Kummert, Dennis Müller, Mirko Meuter, Stefan Müller-Schneiders
Publikováno v:
Advances in Visual Computing ISBN: 9783540768555
ISVC (2)
ISVC (2)
We present a new camera based algorithm to track pedestrians from a moving host using corner points. The algorithm can handle partial shape variations and the set of point movement vectors allows to estimate not only translation but also scaling. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b736d9c544373b9f4a7accb037c0118a
https://doi.org/10.1007/978-3-540-76856-2_36
https://doi.org/10.1007/978-3-540-76856-2_36
Publikováno v:
ITSC
Feature extraction and classification are two of the most important modules of any vision-based pedestrian detection system, since they are critical to the performance of the system as a whole. This paper presents the feature extraction and classific