Intelligent Connected Technology of CAERI Co., Ltd.

Intelligent & Connected Vehicle Training Vehicles

Intelligent Driving Desktop Level Car

Intelligent Driving Desktop Level Car is a practical training teaching platform specially built for intelligent connected teaching in undergraduate and vocational colleges. It combines artificial intelligence-related algorithms with model vehicles, aiming to provide opportunities for colleges and universities to carry out intelligent driving-related majors such as theoretical learning, practical exercises, innovation and entrepreneurship, student competitions, and scientific and technological activities, and improve students' scientific research thinking and comprehensive innovation ability.

Construction of compulsory and elective curricula for majors Professional experimental curricula, engineering practical training Curriculum design, graduation project Skills Competition

Default Features

Lane Keeping Assist

Automatic Emergency Brake

Active Collision Avoidance

Adaptive Cruise Control

Auto Parking Assist

Vehicle Parameters

Vehicle Size: Length * Width * Height ≥ 423 * 190 * 180mm
Vehicle Weight: about 3Kg;
Overall Architecture: Electronic Control, Rear Wheel Drive, Independent Suspension;
Battery Parameters: 4200mAh; (last for 2-3 hours)
Computing Unit: Raspberry Pi 4B+
Perception: Ultrasonic Radar
Perception: Camera Module

Perception and Positioning: LiDAR
Positioning: GPS + BD dual-mode
Positioning: IMU Sensor

Supporting Materials: Teaching materials, experimental instructions, experimental reports and source code, can do 30 kinds of practical training competition projects

Teaching Resource

Support for Secondary Development of Multiple Software

Full Set of Hardware Support

Intelligent Driving Training Low Speed Unmanned Vehicle

The intelligent driving training low speed unmanned vehicle supports L4 level unmanned driving, open source algorithm, modular mapping, positioning, autonomous navigation, path planning, autonomous obstacle avoidance, autonomous obstacle avoidance function learning, and provides a lightweight vehicle specification level modular multi-functional networked Car platform with quick release teaching load module. Support industry learning to professional applications, multi-level research and teaching.

The Configuration Instructions of Intelligent Driving Training Low Speed Unmanned Vehicle

Perception hardware: 16-line lidar, millimeter-wave radar, camera
Communication hardware: automotive-grade CAN communication, gigabit network interaction platform.
Positioning hardware: dual antenna RTK module, module navigation.
Computing hardware: Multi redundant supercomputing embedded platform (NVIDIA Jetson AGX Xavier/Huawei MDC).
Platform hardware: automotive-grade by-wire chassis platform.
Interactive content: 15.6-inch interactive large screen, professional learning and development applications.

Teaching Points

Structural principle: by-wire chassis, sensor, computing platform structural principle
Algorithm development: tracking, computer vision, SLAM, information fusion
Function test: AEB test, ACC test
Assembly and calibration: sensor, HMI, Installation and calibration of computing platforms
Fault detection: power failure, communication failure

It can participate in the IVISTA—the world's top intelligent driving technology competition

● Successfully held five sessions

● In 2022, more than 450 teams followed the deer track, 7 academicians and more than 120 industry experts jointly assisted, and more than 750 foreign media broadcasted it.

● Functional unmanned vehicle challenge, 27 universities, 20+ teams, complete 10 scene tasks such as pedestrian and vehicle travel, pedestrian crossing, and fixed-point delivery.

Intelligent Driving Training Passenger Cars

Based on Wuling KIWI's drive-by-wire vehicle chassis, it is equipped with a self-developed autonomous driving system and opens the original fly-by-wire protocol to realize the true intelligent connected vehicle teaching and training.
Direct, fast and available, stable and reliable unmanned vehicle scientific research platform + secondary SDK development + software architecture open.

The Configuration Instructions of Intelligent Driving Training Passenger Cars

Vehicle size: 3070*1870*2000
Battery capacity: 31.9kwh, range 250km
Positioning hardware: NavBox 2.0
Computing power hardware: 2 × Xavier
Perception hardware: 3 × Lidar, 5 × Camera
Interactive content: mobile APP, extended SDK interface, vehicle cloud interface.

Teaching Points

Through the industrial computer + standard interactive interface, all sensor data of the original vehicle can be called, and control commands can be issued, so as to focus on the research of cutting-edge algorithm teaching and disassembly, fault diagnosis, calibration of perception sensors such as lidar, functional realization and operation of L4 level automatic driving, reading and communication of key core parameters of automatic driving and wire-controlled vehicles, and L4 intelligent connected vehicle testing.

A Case of Passenger Car Modification in A University

● Based on advanced technologies in the intelligent transportation industry such as autonomous driving, intelligent connected connection and vehicle-road coordination, an experimental section of vehicle-road coordination was built on the campus of the university.

● Through the by-wire modification of the vehicle, intelligent perception sensors such as lidar are equipped on the vehicle, and algorithms such as perception recognition, path planning, and decision-making control of the autonomous driving vehicle are applied to realize the L4 automatic driving function of the intelligent driving platform vehicle in limited scenarios.

● The intelligent driving platform vehicle can realize the autonomous driving display on campus, the test of vehicle-road collaborative application scenarios, the update and iteration of the autonomous driving algorithm and the teaching application of students.

Solution