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ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery

Azimi, Seyedmajid (2018) ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery. European Conference on Computer Vision 2018 (ECCV), 08.-14. Sept. 2018, München, Deutschland.

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Official URL: https://arxiv.org/abs/1811.06318


On-board real-time vehicle detection is of great significance for UAVs and other embedded mobile platforms. We propose a computationally inexpensive detection network for vehicle detection in UAV imagery which we call ShuffleDet. In order to enhance the speed-wise performance, we construct our method primarily using channel shuffling and grouped convolutions. We apply inception modules and deformable modules to consider the size and geometric shape of the vehicles. ShuffleDet is evaluated on CARPK and PUCPR+ datasets and compared against the state-of-the-art real-time object detection networks. ShuffleDet achieves 3.8 GFLOPs while it provides competitive performance on test sets of both datasets. We show that our algorithm achieves real-time performance by running at the speed of 14 frames per second on NVIDIA Jetson TX2 showing high potential for this method for real-time processing in UAVs.

Item URL in elib:https://elib.dlr.de/123602/
Document Type:Conference or Workshop Item (Speech)
Title:ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Azimi, SeyedmajidSeyedmajid.Azimi (at) dlr.dehttps://orcid.org/0000-0002-6084-2272
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-12
Keywords:ShuffleDet, real-time vehicle detection, detection network, UAV Imagery, mobile platforms
Event Title:European Conference on Computer Vision 2018 (ECCV)
Event Location:München, Deutschland
Event Type:international Conference
Event Dates:08.-14. Sept. 2018
Organizer:TU München
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Zielske, Mandy
Deposited On:22 Nov 2018 17:22
Last Modified:31 Jul 2019 20:21

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