Development of an Energy Efficient and Cost Effective Autonomous Vehicle Research Platform.

LiDAR autonomous vehicle system camera connected and automated vehicle intelligent transportation system obstacle detection perception radar self-driving cars sensors

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
11 Aug 2022
Historique:
received: 13 07 2022
revised: 02 08 2022
accepted: 08 08 2022
entrez: 26 8 2022
pubmed: 27 8 2022
medline: 30 8 2022
Statut: epublish

Résumé

Commercialization of autonomous vehicle technology is a major goal of the automotive industry, thus research in this space is rapidly expanding across the world. However, despite this high level of research activity, literature detailing a straightforward and cost-effective approach to the development of an AV research platform is sparse. To address this need, we present the methodology and results regarding the AV instrumentation and controls of a 2019 Kia Niro which was developed for a local AV pilot program. This platform includes a drive-by-wire actuation kit, Aptiv electronically scanning radar, stereo camera, MobilEye computer vision system, LiDAR, inertial measurement unit, two global positioning system receivers to provide heading information, and an in-vehicle computer for driving environment perception and path planning. Robotic Operating System software is used as the system middleware between the instruments and the autonomous application algorithms. After selection, installation, and integration of these components, our results show successful utilization of all sensors, drive-by-wire functionality, a total additional power* consumption of 242.8 Watts (*Typical), and an overall cost of $118,189 USD, which is a significant saving compared to other commercially available systems with similar functionality. This vehicle continues to serve as our primary AV research and development platform.

Identifiants

pubmed: 36015761
pii: s22165999
doi: 10.3390/s22165999
pmc: PMC9416450
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2021 Mar 18;21(6):
pubmed: 33803889
Sensors (Basel). 2020 Oct 22;20(21):
pubmed: 33105897
Sensors (Basel). 2019 Oct 09;19(20):
pubmed: 31600922
Sensors (Basel). 2020 Feb 07;20(3):
pubmed: 32046232
Sensors (Basel). 2019 Feb 05;19(3):
pubmed: 30764486
Sensors (Basel). 2017 Sep 18;17(9):
pubmed: 28926996

Auteurs

Nicholas E Brown (NE)

Western Michigan University, 1903 W Michigan Ave., Kalamazoo, MI 49008, USA.

Johan F Rojas (JF)

Western Michigan University, 1903 W Michigan Ave., Kalamazoo, MI 49008, USA.

Nicholas A Goberville (NA)

Western Michigan University, 1903 W Michigan Ave., Kalamazoo, MI 49008, USA.

Hamzeh Alzubi (H)

FEV North America Inc., 4554 Glenmeade Ln, Auburn Hills, MI 48326, USA.

Qusay AlRousan (Q)

FEV North America Inc., 4554 Glenmeade Ln, Auburn Hills, MI 48326, USA.

Chieh Ross Wang (CR)

Oak Ridge National Laboratory, 1 Bethel Valley Rd., Oak Ridge, TN 37831, USA.

Shean Huff (S)

Oak Ridge National Laboratory, 1 Bethel Valley Rd., Oak Ridge, TN 37831, USA.

Jackeline Rios-Torres (J)

Oak Ridge National Laboratory, 1 Bethel Valley Rd., Oak Ridge, TN 37831, USA.

Ali Riza Ekti (AR)

Oak Ridge National Laboratory, 1 Bethel Valley Rd., Oak Ridge, TN 37831, USA.

Tim J LaClair (TJ)

Oak Ridge National Laboratory, 1 Bethel Valley Rd., Oak Ridge, TN 37831, USA.

Richard Meyer (R)

Western Michigan University, 1903 W Michigan Ave., Kalamazoo, MI 49008, USA.

Zachary D Asher (ZD)

Western Michigan University, 1903 W Michigan Ave., Kalamazoo, MI 49008, USA.

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Classifications MeSH