Abstract
Innovation in the autonomous vehicle fosters an increase in the algorithm and software for the onboard hardware, electronic control units (ECUs), sensors, and actuators. As a result, a large amount of data habours in the vehicle’s electrical and electronics systems. Heterogeneous data sources arise from the control command and the many different sensors. We must account for information from the GPS, cameras, radar, LiDAR, control unit, and even error messages in the vehicle data processing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Ng, T.S. (2021). Autonomous Vehicle Data Processing. In: Robotic Vehicles: Systems and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-33-6687-9_4
Download citation
DOI: https://doi.org/10.1007/978-981-33-6687-9_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-6686-2
Online ISBN: 978-981-33-6687-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)