Information Conversion Architecture for Collaborative Autonomous Driving
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Solution Overview
Problem
Current autonomous driving technologies are hindered by complexity and redundancy in on-board and roadside systems, limiting the widespread implementation and commercial use of autonomous vehicles.
Innovation Solution
An intelligent information conversion system (IICS) facilitates real-time dynamic information exchange between vehicles and intelligent road infrastructure, using a standardized code book format to encode and decode information, supporting vehicles with varying intelligence levels and enabling collaborative automatic driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing autonomous driving technologies are implemented, then autonomous driving functionality is achieved, but system complexity and redundancy increase
Solution Approach 1:
The patent introduces an Intelligent Roadside Unit (IRU) as an intermediary component that mediates between the vehicle's onboard system and the roadside infrastructure. The IRU receives information from both sources, processes it centrally, and provides unified output to the vehicle controller, thereby reducing the complexity of direct interactions between multiple independent systems while maintaining autonomous driving functionality
Solution Approach 2:
The patent merges the onboard information processing system with the roadside infrastructure system through the IRU. By combining sensing, communication, and control functions into a unified roadside-based architecture, the system reduces redundancy in onboard sensors and processors while achieving the same autonomous driving objectives
2Adaptability or versatility
If standardized information exchange is implemented across different vehicle and infrastructure systems, then adaptability and coordination are improved, but system integration complexity increases
Solution Approach 1:
The patent implements a universal information exchange standard through the IRU that enables different vehicle types and intelligence levels to communicate with the roadside infrastructure using a common protocol. This universal interface handles various data formats and communication methods, providing adaptability across diverse systems while the IRU manages the integration complexity internally
Data Source
AI summary
Provided herein is technology relating to automated driving and particularly, but not exclusively, to an intelligent information conversion system and related methods for providing collaborative automatic driving to intelligent transportation systems, vehicle networking systems, collaborative management control systems, vehicle-road collaborative systems, automated driving systems, and the like.