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
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
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