Intelligent networked and autonomous driving training vehicle educational equipment PN: GTAT-ID001 Picture for reference: Product Description This training system integrate and optimize the data of wire controlled steering, wire controlled braking, and wire controlled driving of mass-produced vehicles, and install intelligent sensor modules and computing modules. The computing module has functions such as fusion positioning and perception, automatic navigation based on mapping, tracking, obstacle avoidance, SLAM (laser SLAM, visual SLAM), etc. It completes safety obstacle avoidance, automatic parking, intelligent driving, etc. through map collection, map production, and path planning. The intelligent networked and autonomous driving experimental vehicle consists of mass-produced vehicles, voice interaction, intelligent parking, intelligent driving, simulation teaching systems, etc.
Functional characteristics 1) It can complete the assembly, calibration, and testing of key components for autonomous driving; Such as independent calibration and joint calibration of wire controlled chassis, laser radar, millimeter wave radar, and cameras; 2) It can complete the CAN communication data analysis of the wire controlled chassis, debug, set, integrate and optimize the parameters of the underlying wire controlled actuator, and provide open source communication protocols; 3) It can complete the fault diagnosis and elimination of vehicle energy supply, intelligent sensors, wire controlled chassis, communication and other systems; 4) To complete online and road testing of intelligent assisted driving, and verify intelligent driving functions such as emergency braking, traffic signal recognition, lane recognition, and active obstacle avoidance through road testing; 5) Through the simulation teaching system, an immersive experience and testing of intelligent driving can be achieved;
Technical parameters: (1) Training vehicle parameters: Model: Baojun KIVI Vehicle dimensions: 2894 * 1655 * 1590mm Seating capacity: ≥ 4 seats Maximum speed: ≥ 35km/h, with speed limit function; Range: ≥ 300km; Climbing ability: ≥ 10%; Peak power of drive motor: ≥ 40kW; Wire control working voltage: ≥ 12V; The training system is equipped with an independent gateway, and the entire vehicle adopts bus communication, among which the CAN bus meets the CAN2.0b communication protocol; BMS has functions such as overcharging, over discharging, instrument display and reading; Equipped with remote control or driving mode; Both the vehicle body and remote control are equipped with emergency stop switches; Equipped with an on-board charging gun. (2) Requirements for intelligent networking and auto drive system: The auto drive system shall be equipped with electronic components that meet the requirements of vehicle specification level, realize automatic driving on conventional roads, and have the functions of parameter debugging, satellite positioning, etc; Open autonomous driving algorithm on computing platform; The complete conditions for L4 level autonomous driving, automatic obstacle avoidance, emergency stop, and automatic planning of driving paths are achieved by combining the autonomous driving control system, wire controlled chassis, and other systems. In addition to meeting the above requirements, the auto drive system shall also have functions such as body stability control system, 360 degree panoramic image, driving mode selection, automatic parking, uphill assistance, automatic parking assistance, adaptive cruise, remote start, voice interaction, Internet of Vehicles, OTA upgrade, mobile phone remote control (doors, windows, charging, lights, air conditioning, vehicle condition diagnosis, vehicle positioning), etc. (3) Intelligent sensors: 1) Integrated navigation: provides real-time position, velocity, and attitude signals, with an absolute position accuracy of better than 2.5cm, attitude accuracy of better than 0.4, and heading accuracy of better than 0.4°. 2) Lidar: ≥ 1, line number≥ 16, horizontal field of view angle ≥ 120°, vertical field of view angle ≥ 15°, accuracy better than ± 2cm; 3) Camera: ≥ 2, resolution ≥ 1600 × 1200, frame rate ≥ 60fps; 4) Millimeter wave radar: ≥ 1, speed measurement accuracy better than 0.1km/h, ranging from 0 to 200m; 5) Ultrasonic radar: ≥ 8, blind spot distance ≤ 28cm, range 28-450cm. 6) Autonomous driving controller: CPU ≥ 4 cores, memory ≥ 16GB;
Software Technical Parameters: (1) Communication requirements: 1) Rich interfaces can professionally meet the visual needs of autonomous driving scenarios; 2) Configurable WIFI/4G module to meet various communication needs; 3) CAN interface, supporting various radar sensors: 4) Gigabit Ethernet port, supporting POE function; 5) Remote control; (2) Algorithm requirements: 1) The software that integrates perception, decision planning, positioning technology, and execution control adopts C++and can open source key code; 2) The fusion perception algorithm includes point cloud data reading from LiDAR, target clustering, target recognition, camera image recognition, and target extraction; Complete fusion recognition of laser radar, millimeter wave, and visual recognition results; 3) Decision planning algorithms include global path planning and local path planning algorithms for vehicles; 4) The intelligent control algorithm of the actuator includes the acceleration and deceleration, steering, braking, gear, etc. of the vehicle. (3) Simulation requirements: The simulation system includes parameter configurations such as vehicle model, road scene, and perception position, which meet the verification of intelligent driving functions and can be combined with the vehicle to complete dynamic and static control. The requirements are as follows: 1) Virtual simulation environment can be built, and the software provides a pre built traffic scenario environment. It can also be used to build a traffic environment for simulation experiments through scenario building software; 2) Provide map making tools that can control simulated vehicles in virtual simulation systems to drive in simulated scenes. Use the laser radar data of the simulation system to create point cloud maps, which can be used to create high-precision maps based on the constructed scene; 3) Provide auto drive system. The auto drive system includes perception, positioning, planning, control and other modules, which can work and demonstrate normally; The automatic driving of the simulation vehicle in the simulation software can be controlled through point cloud maps or high-precision maps; Functional experiments include LKA, ACC, AEB, active overtaking, decision-making at intersection without traffic lights, global and local path planning, and lane change and obstacle avoidance decision-making.
Packing&Shipping Solid plywood box and normally ship by sea, but if the size is not big, also by air, FedEx or DHL, TNT and so on. Company Profile
Guangzhou Guangtong Educational Equipment Co.,LTD is a well-known high-tech company, we participate in many international educational tenders and help our customer win the tender.
We are specialized in development and manufacturing of professional Educational Equipment including automotive teaching equipment, air conditioning and refrigeration teaching equipment, electrical and electronic teaching equipment, lift teaching, solar energy trainer, electric car training device and other vocational training equipment etc. GTEE is located in Baiyun District, Guangzhou City and adjacent to Guangzhou Baiyun International Airport.
With our several years of design, development, manufacturing and international service experience and expertise, GTEE is growing up and developing very fast. We continuously focus on providing high quality products with competitive price and reliable after sale services for our overseas customers. We will response to our customers within 24 hours after get the feedback and requirements. Show Room: Customer Photos: FAQ Q: Are you trading company or manufacturer? A: We are manufacturer.
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