Pekezou Fouopi, Paulin and Srinivas, Gurucharan and Knake-Langhorst, Sascha and Köster, Frank (2016) Object Detection Based on Deep Learning and Context Information. In: Machine Learning reports. New Challenges in Neural Computation and Machine Learning, 12.09.2016, Hannover, Deutschland.
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Abstract
In order to avoid collision with other traffic participants automated driving vehicles need to understand the scene around the ego-vehicle. Object detection as part of scene understanding remains a challenging task due to the highly variable object appearances. Object appearances can vary according to position, occlusion, illumination, etc. In this work we propose a combination of convolutional neural networks and context information to improve object detection. Context information and deep learning architectures, which are relevant for object detection, are chosen. Different approaches for integrating context information into the convolutional neural networt are discussed. The combined classifier is trained and evaluated on real scene data.
Item URL in elib: | https://elib.dlr.de/112764/ | |||||||||||||||
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Document Type: | Conference or Workshop Item (Speech, Poster) | |||||||||||||||
Title: | Object Detection Based on Deep Learning and Context Information | |||||||||||||||
Authors: |
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Date: | 2016 | |||||||||||||||
Journal or Publication Title: | Machine Learning reports | |||||||||||||||
Refereed publication: | Yes | |||||||||||||||
Open Access: | Yes | |||||||||||||||
Gold Open Access: | No | |||||||||||||||
In SCOPUS: | No | |||||||||||||||
In ISI Web of Science: | No | |||||||||||||||
Editors: |
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Status: | Published | |||||||||||||||
Keywords: | Object Detection, Deep Learning, Convolutional Neural Networks, Context Information, Semantic Models, Bayesian Models | |||||||||||||||
Event Title: | New Challenges in Neural Computation and Machine Learning | |||||||||||||||
Event Location: | Hannover, Deutschland | |||||||||||||||
Event Type: | Workshop | |||||||||||||||
Event Dates: | 12.09.2016 | |||||||||||||||
Organizer: | GI-Fachgruppe Neuronale Netze, German Neural Networks Society in connection to GCPR 2016 | |||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | |||||||||||||||
HGF - Program: | Transport | |||||||||||||||
HGF - Program Themes: | Terrestrial Vehicles (old) | |||||||||||||||
DLR - Research area: | Transport | |||||||||||||||
DLR - Program: | V BF - Bodengebundene Fahrzeuge | |||||||||||||||
DLR - Research theme (Project): | V - Fahrzeugintelligenz (old) | |||||||||||||||
Location: | Braunschweig | |||||||||||||||
Institutes and Institutions: | Institute of Transportation Systems | |||||||||||||||
Deposited By: | Pekezou Fouopi, Paulin | |||||||||||||||
Deposited On: | 19 Jun 2017 10:51 | |||||||||||||||
Last Modified: | 31 Jul 2019 20:10 |
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