The first step to data-driven perception & vision AI development
Within the ADAS/AD industry the process of acquiring, harvesting and recording data for development of deep or machine learning algorithms is called ‘data logging’. Data logging can be called ‘the first step to data-driven development’ of autonomous driving technology. The urge for a safer and more comfortable on-road experience has led to the adaptation of sensors with higher frame rates & resolutions and to the introduction of various sensors with new functioning mechanisms. This posts several challenges specific to data logging for ADAS/AD development.
Data synchronization
Sensor fusion of multiple heterogenous data sources
Bandwidth Intensive edge computing
For in-vehicle data logging of high-resolution sensors
Automotive interface support
Including GMSL, FPD-Link, CAN, LIN and more
Customized H/W, S/W, F/W support
For changing and evolving environments, especially sensors
Seamless integration
Based on data extraction technology including splitting
