Vehicle Motion Control Using Shared Body Models
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Solution Overview
Problem
Current vehicle control systems for automatic driving rely heavily on sensor reliability and complex data processing, which can be unreliable and inefficient due to the need for real-time detection and data transmission of vehicle positions and trajectories.
Innovation Solution
A vehicle control device and method that uses a communication module to receive data from surrounding vehicles, generates digitized body models based on dimension and model information, and controls vehicle motion using these models and motion information, reducing the need for real-time data processing and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor-based real-time detection and data transmission is used to detect vehicle positions and trajectories, then vehicle control information can be obtained, but the system becomes highly complicated and reliability is reduced due to substantial detections, data transmissions and complex synthesis calculations
Solution Approach 1:
The patent creates a virtual copy of the physical vehicle environment by generating a digitized body model of the present vehicle and digitized body models of other vehicles based on received data. This virtual model allows the system to simulate and analyze vehicle interactions without requiring complex real-time sensor processing, thereby reducing system complexity while maintaining control reliability
Solution Approach 2:
The patent introduces a server as an intermediary that receives vehicle data, generates digitized body models, and performs collision risk analysis. This intermediary approach centralizes complex calculations on the server rather than requiring each vehicle to perform substantial real-time detections and synthesis calculations, simplifying the on-vehicle system while improving reliability through centralized processing
2Productivity
If real-time data processing and transmission is performed for vehicle control, then accurate vehicle position and trajectory information is obtained, but computational load increases and efficiency decreases
Solution Approach 1:
The patent extracts the computationally intensive tasks of generating digitized body models and performing collision risk analysis from the on-vehicle processor and relocates them to a remote server. This extraction reduces the computational load on the moving vehicle while maintaining the necessary processing capabilities, thereby improving efficiency and reducing energy consumption
Solution Approach 2:
The server performs preliminary generation of digitized body models and collision risk analysis before the vehicle needs to make control decisions. By pre-processing the data and preparing the virtual models in advance, the system reduces the need for intensive real-time computational operations during critical vehicle control moments, improving overall efficiency
Data Source
AI summary
There is disclosed a vehicle control device and method, wherein a vehicle and other vehicles within a certain range around the present vehicle exchange one of respective vehicle dimension information and vehicle model information as well as vehicle motion information, and the vehicle controls a motion of the vehicle according to information of the vehicle and information of other vehicles received. There is also disclosed a vehicle control system and method, wherein each vehicle transmits one of its respective vehicle dimension information and vehicle model information as well as vehicle motion information to a server, wherein the server calculates a travel scheme for each vehicle according to the information received.