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Intelligent Driving

Perception

The perception system is an important part of the intelligent driving of the car. It is responsible for detecting the environment of the car, providing accurate, timely and sufficient data basis for the decision-making level of the advanced assisted driving system, and then the executive layer makes an accurate decision on the safe driving of the car. judge. It mainly includes environmental perception, internal perception and driver perception. The objects of the environment perception include the driving path of the vehicle, traffic participants around the vehicle (such as other vehicles, pedestrians), driving status (such as the driver's own state, the vehicle's own driving state and the driving state of other vehicles around the vehicle) and driving environment (such as road surface conditions, road traffic congestion and weather conditions, etc.).

Path Planning and Decision-making

Intelligent planning of routes based on environmental perception and accurate positioning, while automatic decision-making about obstacles, lane changes, following, overtaking and etc., based on real-time traffic information.

Control

Comfortable and friendly lateral and longitudinal control considering vehicle kinematics and environmental information, preconditioned upon safety.

Positioning

Using a variety of comprehensive positioning technologies including GNSS, RTK, vision and dead reckoning to meet the requirements of localization in various complex environments, while deriving accurate positioning information in real-time by matching high-resolution maps to realize lane-level positioning.

V2V and V2I (V2X)

In the context of Vehicle-to-Everything (V2X) technology, Vehicle-to-vehicle (V2V) and Vehicle-to-Infrastructure (V2I) are two important concepts when it comes to the intelligent transportation system. V2V communication enables the sharing of information among vehicles, such as road conditions and traffic congestion data, helping drivers select the optimal route. Both V2V and V2I communication contribute to improving road safety, reducing traffic congestion, and increasing traffic efficiency, creating a more convenient, comfortable, and safe travel environment for all.

High-performance Computing Platform

The high-performance computing platform for intelligent driving is a core component of an intelligent driving system, providing powerful computational capabilities for such driving. Equipped with high-efficiency chips and optimized algorithms, it supplies strong computational support for intelligent driving, enabling vehicles to perceive their surroundings in real-time, make decision-making plans, and carry out control executions. The technology for building such a platform is critical for achieving intelligent driving, with its performance and reliability significantly affecting the safety and reliability of the intelligent driving system.