Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Andrei Vatavu"'
Autor:
Andrei Vatavu, Sagar Ravi Bhavsar, Gunther Krehl, Janis Peukert, Suresh Govindachar, Abhishek Mantha, Manuel Schier, Melissa Rahm, Michael Maile
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 12:149-168
One of the indispensable functions of a self-driving vehicle is to estimate its dynamic world, which includes various traffic participants within complex driving scenarios. The estimation mechanism has to be flexible, fast, and robust; however, achie
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
High-Definition (HD) Maps are indispensable components of an autonomous vehicle software stack, containing a precise representation of the static surroundings. Prediction, motion planning and vehicle behavior heavily rely on the accuracy of the HD Ma
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 16:498-511
In this paper we present a stereovision-based approach for tracking multiple objects in crowded environments where, typically, the road lane markings are not visible and the surrounding infrastructure is not known. The proposed technique relies on me
Publikováno v:
ICCP
Mäyrä, A, Aikio, M, Ojala, K, Mandici, S, Vatavu, A & Nedevschi, S 2015, Fisheye optics for omnidirectional stereo camera-Performance evaluation for AGV applications . in Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on . IEEE Institute of Electrical and Electronic Engineers, pp. 225-230, IEEE 11th International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, Romania, 3/09/15 . https://doi.org/10.1109/ICCP.2015.7312634
Mäyrä, A, Aikio, M, Ojala, K, Mandici, S, Vatavu, A & Nedevschi, S 2015, Fisheye optics for omnidirectional stereo camera-Performance evaluation for AGV applications . in Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on . IEEE Institute of Electrical and Electronic Engineers, pp. 225-230, IEEE 11th International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, Romania, 3/09/15 . https://doi.org/10.1109/ICCP.2015.7312634
Omnidirectional stereo cameras have been proposed to be applied as a safety sensor in automated guided vehicles. As a part of the EC-funded PAN-Robots project, a custom designed high performance omnidirectional stereo camera with fisheye objectives w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::533200aee153377b42bcc9b6fac2b67c
https://cris.vtt.fi/en/publications/3f37fac2-662e-4e59-802f-8ab921263208
https://cris.vtt.fi/en/publications/3f37fac2-662e-4e59-802f-8ab921263208
Publikováno v:
IROS
In this work we present an obstacle detection and tracking solution applied to Automated Guided Vehicles (AGVs) in industrial environments. The proposed method relies on information provided by an omnidirectional stereo vision system enabling 360 deg
Autor:
Sergiu Nedevschi, Christian Stimming, Annette Krengel, Markus Boehning, Andrei Vatavu, Szilard Mandici
Publikováno v:
ICCP
Modern AGVs are equipped with several safety laser scanners with a combined 360 deg field of view around the AGV to detect and subsequently avoid collisions with other AGVs, structural elements and, most importantly, workers. This contactless environ
Publikováno v:
Intelligent Vehicles Symposium
In this paper we propose an approach for obstacle localization and recognition using omnidirectional stereovision applied to autonomous fork-lifts in industrial environments. We use omnidirectional stereovision with two fisheye cameras for the 3D per
Publikováno v:
ITSC
In this paper the authors propose a new solution for representing and tracking crowded traffic environments by using dense stereo data. The proposed method relies on the information provided by two compact 2.5D grid-based representations: a classifie
Publikováno v:
2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP).
This work presents an omnidirectional stereo system with a direct application to autonomous logistics. The omnidirectional system uses fisheye lenses to inspect the surroundings of the automated forklift. The lenses are mounted on the top of the vehi
Autor:
Sergiu Nedevschi, Andrei Vatavu
Publikováno v:
Informatics in Control, Automation and Robotics ISBN: 9783319034997
Modeling static and dynamic traffic participants is an important requirement for driving assistance. Reliable speed estimation of obstacles is an essential goal especially when the surrounding environment is crowded and unstructured. In this chapter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83503d89670d8860b18c2d4747b72d64
https://doi.org/10.1007/978-3-319-03500-0_15
https://doi.org/10.1007/978-3-319-03500-0_15