For the next generation of EV devices, we will build a by-wire chassis equipped with radar, lidar, cameras, global positioning systems, inertial sensors, V2X and 5G communication technologies Automotive systems for ECU/MCU/DCU, AI computing chips, and FPGA signal processing systems.

The advanced Computing Platform with an interface board accommodating 10+ Cameras, 18+ Radar and 8+ LiDARs would achieve the most efficient parallel matrix computations. We introduce Deep Learning and Reinforcement Learning to improve and enhance our Localization and Mapping abilities.

We can analyze real-world data from a fleet of test vehicles, create a wide variety of test scenarios (use cases), and build a safe solution to autonomous cars that enables lightning-fast evaluation and validation of system behavior.

According to our long-time experience in industry we build up a data center focusing on functionality testing and specification parameter evaluation & validation.

We will provide sensor fusion based data in popular formats, and extract benchmarks for various tasks. our goal is to provide sufficient real-world dataset for academia research on algorithm development and industry applications.