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

Autor: Valtl, Jakob, Mendez, Javier, Pagalajar Cuellar, Manuel, Issakov, Vadim
Jazyk: angličtina
Rok vydání: 2021
Předmět:
DOI: 10.5281/zenodo.4665844
Popis: 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.
Databáze: OpenAIRE