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of 11
pro vyhledávání: '"Catalin Golban"'
Publikováno v:
ICCP
The visual-based odometry estimation is a key feature in today’s autonomous robots. Although the best performance for video-only solutions is achieved with stereo cameras, the LiDAR sensors’ general suitability for precise depth measurements at r
Autor:
Catalin Golban, Sergiu Nedevschi
Publikováno v:
2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP).
This paper proposes a novel method for detecting the moving vehicles in dynamic urban traffic scenes using a stereo camera. Relying on the fact that a set of feature points on a rigid 3D scene object are staying in a rigid 3D configuration, we propos
Autor:
Catalin Golban, Sergiu Nedevschi
Publikováno v:
2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP).
This paper proposes a novel method to determine the speed of the surrounding vehicles in traffic scenarios. Relying on the video information obtained from a stereo camera mounted on a moving vehicle, we first determine the vehicle ego motion based on
Autor:
Catalin Golban, Sergiu Nedevschi
Publikováno v:
2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP).
This paper proposes a method to determine the relative rotation between two images acquired with a camera. It is considered that the camera is calibrated, and that the relative motion between the two images is small. The method is appropriate for a c
Publikováno v:
Intelligent Vehicles Symposium
Reliable vehicle ego motion estimation based on visual information is an important research goal because it has applications like accurate long term localization by fusion with other sensors, temporal fusion between frames, moving obstacles detection
Publikováno v:
ITSC
Visual odometry has been an important research activity in the last three years. Because the results of ego-motion estimation tasks are used in complex systems which need to work real-time, the motion estimation itself need to perform faster than rea
Autor:
Catalin Golban, Sergiu Nedevschi
Publikováno v:
Intelligent Vehicles Symposium
Visual odometry has been an important research activity in the last two years and it has lead to numerous papers being published. Few surveys and comparative studies between approaches exist at the moment. This paper makes a comparative study between
Publikováno v:
Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing.
This paper presents a method to accurately determine the three-dimensional motion of a vehicle based on image pairs acquired with a stereo system. The basic idea is to express the relationship between correspondent features that belong to non moving
Autor:
Florin Oniga, Silviu Bota, Radu Danescu, Cosmin D. Pantilie, Catalin Golban, Sergiu Nedevschi, Marius Drulea, Istvan Haller, Tiberiu Marita
Publikováno v:
Advanced Microsystems for Automotive Applications 2010 ISBN: 9783642126475
The problem of on-board intersection perception and modeling is complex and requires a wide field of view, dense and accurate data acquisition and processing, robust object detection and classification and fast response time. This goal can be achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5e5410982ecbf55d8c78ba5fa8cbea0
https://doi.org/10.1007/978-3-642-16362-3_25
https://doi.org/10.1007/978-3-642-16362-3_25
Publikováno v:
2009 12th International IEEE Conference on Intelligent Transportation Systems.
This paper presents an original method for increasing the accuracy of ego vehicle motion estimation using video data. Our algorithm takes as input a monocular video sequence on which originally combines procedures for feature detection and filtering,