Conference paper Open Access

Autonomous Platform based on Small-Scale Car for Versatile Data Collection and Algorithm Verification

Valtl, Jakob; Mendez, Javier; Pagalajar Cuellar, Manuel; Issakov, Vadim


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4665844", 
  "language": "eng", 
  "title": "Autonomous Platform based on Small-Scale Car for Versatile Data Collection and Algorithm Verification", 
  "issued": {
    "date-parts": [
      [
        2021, 
        1, 
        13
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Valtl, Jakob"
    }, 
    {
      "family": "Mendez, Javier"
    }, 
    {
      "family": "Pagalajar Cuellar, Manuel"
    }, 
    {
      "family": "Issakov, Vadim"
    }
  ], 
  "id": "4665844", 
  "event-place": "Virtual-Milano", 
  "type": "paper-conference", 
  "event": "ICPR 2020"
}
57
23
views
downloads
All versions This version
Views 5757
Downloads 2323
Data volume 131.1 MB131.1 MB
Unique views 4848
Unique downloads 2222

Share

Cite as