Intelligent Connected Technology of CAERI Co., Ltd.

Teacher Training and Social Training

The training aims to help university teachers gain a deeper understanding of the field of intelligent connected vehicles, improve their teaching and professional level, and promote industry university research cooperation. The curriculum is entirely project-based, allowing teachers to learn through practical operations and improve their skills through various methods such as experimentation, simulation, and debugging. The training instructors are all internal experts and senior technical engineers of the company, who directly participate in on-site guidance and communication, allowing teachers to have a deep understanding of cutting-edge technology and applications in the industry.

Autonomous Driving Development and Application Training Camp

1Installation and calibration of sensors

2CAN bus communication and DBC file parsing

3Using GPS/IMU for high-precision vehicle positioning

4Using C++code to generate the driving path of unmanned vehicles

5Implementation of vehicle path tracking control algorithm based on PID

6LiDAR SLAM

7Data acquisition and analysis of millimeter wave radar

8Information fusion of cameras and LiDAR

Training conditions: Intelligent driving training for low-speed unmanned vehicles.

Training Camp for Simulation Testing and Scene Library Development of Autonomous Driving

1Scene data collection vehicle preparation

2Scene data collection and calibration of onboard sensors

3Real vehicle field data collection execution

4Execution of accident scenario data collection

5Scenario data transmission storage and management

6Scenario processing and generation

7Building test scenarios in simulation testing software

8Management and scheduling of simulation testing tasks

9Simulation test evaluation based on IVISTA’s test evaluation procedure

Training conditions: intelligent driving training low-speed unmanned vehicle, data acquisition equipment, scene library building Toolchain, automatic driving simulation test software.

Automotive Electronics and Vehicle Network Testing Training Camp

1Log admission based on CANalyzer/CANoe

2Functional testing based on cockpit driving information system

3Functional testing based on cockpit entertainment information system

4Functional testing based on cockpit intelligent perception system

5Functional testing based on lighting

6Functional testing based on air conditioning

7Functional testing based on millimeter wave radar and camera

Training conditions: Intelligent driving training low-speed unmanned vehicle, CAN bus analysis tool and supporting software.

Solution