Zobrazeno 1 - 10
of 24
pro vyhledávání: '"M.M. Meinecke"'
Publikováno v:
2009 IEEE Intelligent Vehicles Symposium.
This paper deals with environmental perception for automobile application using an optimized grid-based modeling method. An overview and the challenges of current methods, namely object-based and grid-based sensor data fusion, are presented. Based on
Autor:
Ciprian Pocol, Sergiu Nedevschi, Tiberiu Marita, M.M. Meinecke, Florin Oniga, Silviu Bota, Radu Danescu, Marian Andrzej Obojski
Publikováno v:
Advanced Microsystems for Automotive Applications 2009 ISBN: 9783642007446
The intersection scenario imposes radical changes in the physical setup and in the processing algorithms of a stereo sensor. Due to the need for a wider field of view, which comes with distortions and reduced depth accuracy, increased accuracy in cal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86473ade9b7d9f28ed696061c23507db
https://doi.org/10.1007/978-3-642-00745-3_10
https://doi.org/10.1007/978-3-642-00745-3_10
Publikováno v:
ITSC
An approach for the detection of straight and curved curbs (border of relevant traffic isles, sidewalks, etc) is presented, in the context of urban driving assistance systems. A rectangular elevation map is built from 3D dense stereo data. Edge detec
Publikováno v:
2008 4th International Conference on Intelligent Computer Communication and Processing.
It is known that 93% of accidents occur because of the driver behavioral errors. Many of these can be prevented. Therefore a driver assistance system must include a collision detection component that is capable of generating warnings to prevent an im
Publikováno v:
2008 4th International Conference on Intelligent Computer Communication and Processing.
An improved approach for the detection of curbs (border of relevant traffic isles, sidewalks, etc) is presented, in the context of urban driving assistance systems. A rectangular elevation map is built from 3D dense stereo data. Edge detection is app
Publikováno v:
2008 IEEE Intelligent Vehicles Symposium.
This paper presents a lane estimation technique based on the particle filter framework, which fuses several image-based cues (edges, lane markings and curbs), and 3D cues extracted from stereovision. A partition sampling-like approach is used to deco
Publikováno v:
2007 IEEE International Conference on Intelligent Computer Communication and Processing.
This paper proposes a new approach for a vehicle based pedestrian detection and classification system. The pedestrian detection is performed based on the 3D data by generating a density map. Pedestrian classification uses a pattern matching approach
Publikováno v:
2007 IEEE International Conference on Intelligent Computer Communication and Processing.
A new approach for the detection of curbs (borders of relevant traffic isles, sidewalks, etc) is presented, in the context of urban driving assistance systems. The 3D data from dense stereo is transformed into a rectangular elevation map. The 3D reso
Publikováno v:
ITSC
This paper presents a lane detection system that combines stereovision-specific techniques with grayscale image processing for maximizing the robustness and applicability against the difficult conditions of the urban environment. The lane marking fea
Publikováno v:
ITSC
This paper presents an algorithm for tracking the cuboids generated from grouping the 3D points obtained through stereovision. The solution described in the paper takes into consideration the particularities of the scenario and of the sensor, and bri