Autonomous Vehicles, Delivery Robot

Autonomous Vehicles System Software Solutions and Commercialization

Relying on advanced intelligent robot R&D and manufacturing technology, deep technical barriers have been built in the fields of positioning and navigation, motion control, multi-machine scheduling, perception and obstacle avoidance, plus in restaurants, hospitals, schools, office buildings, and government affairs halls.

Product Details of Autonomous Vehicles System Software Solutions and Commercialization

Autonomous cars rely on sensors, actuators, complex algorithms, machine learning systems, and powerful processors to execute software.
Autonomous cars create and maintain a map of their surroundings based on a variety of sensors situated in different parts of the vehicle. Radar sensors monitor the position of nearby vehicles. Video cameras detect traffic lights, read road signs, track other vehicles, and look for pedestrians. Lidar (light detection and ranging) sensors bounce pulses of light off the car’s surroundings to measure distances, detect road edges, and identify lane markings. Ultrasonic sensors in the wheels detect curbs and other vehicles when parking.

Sophisticated software then processes all this sensory input, plots a path, and sends instructions to the car’s actuators, which control acceleration, braking, and steering. Hard-coded rules, obstacle avoidance algorithms, predictive modeling, and object recognition help the software follow traffic rules and navigate obstacles.