4665844
doi
10.5281/zenodo.4665844
oai:zenodo.org:4665844
user-teaching-h2020
Mendez, Javier
Pagalajar Cuellar, Manuel
Issakov, Vadim
Autonomous Platform based on Small-Scale Car for Versatile Data Collection and Algorithm Verification
Valtl, Jakob
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>In this work we present a versatile data collection and algorithm verification platform, based on an autonomous self-driving small-scale vehicle. The main advantage of the proposed demonstrator is the ability to collect data in a pre-defined environment without endangering traffic participants. The proposed vehicle includes multiple sensors for full 3D sensing, such as radar, LiDAR, camera and Hall-sensor. Thanks to simultaneous readout and processing, sensor data fusion and intelligent motor control is demonstrated. To store a large amount of data for real-time processing, SSD storage is connected. Finally, thanks to the optimized system power management concept, power consumption is kept low, which reduces required battery weight thus improving overall power efficiency.</p>
Zenodo
2021-01-13
info:eu-repo/semantics/conferencePaper
4665843
user-teaching-h2020
1617777942.401569
5698862
md5:820b609dc653a8fd14c0322a62ee9f16
https://zenodo.org/records/4665844/files/RC_CAR.pdf
public
10.5281/zenodo.4665843
isVersionOf
doi