Road-Vehicle-Platform Path Planning for Real-Time Autonomous Driving
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Solution Overview
Problem
Current automatic driving systems face challenges in planning accurate and safe driving paths due to reliance on high-cost perception systems and static maps, which lack real-time accuracy and reliability, especially when dealing with dynamic road conditions and unexpected events.
Innovation Solution
An intelligent driving system comprising a vehicle subsystem, road subsystem, and platform subsystem that communicates to obtain real-time traffic information and plan optimal driving paths based on actual road conditions, reducing the need for extensive sensing devices and improving safety and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a high-accuracy perception system is used to ensure safe driving path formation, then the safety and accuracy of automatic driving is improved, but the system cost increases significantly
Solution Approach 1:
The patent introduces road section terminals as intermediary devices deployed along roads to collect real-time traffic information. These terminals act as mediators between the vehicle's automatic driving system and the actual road conditions, providing accurate road status data without requiring complex perception systems in each vehicle. The terminal includes sensors and communication modules that gather and transmit traffic information to vehicles passing through specific road sections.
Solution Approach 2:
The system enables road sections to self-report their traffic conditions through deployed terminals that automatically collect and transmit data. Each road section becomes self-aware of its traffic state and actively provides this information to vehicles, eliminating the need for vehicles to independently perceive and analyze complex road conditions through expensive sensor arrays.
2Adaptability or versatility
If static maps are used for route planning in the cloud control center, then the system can plan routes for vehicles outside the network, but the real-time accuracy and responsiveness to actual road conditions deteriorates
Solution Approach 1:
The patent transforms static map-based route planning into a dynamic system by introducing real-time traffic information collection and transmission. Road section terminals continuously monitor and upload current road conditions, allowing the cloud control center to update route plans dynamically based on actual traffic states, accidents, weather conditions, and other real-time factors rather than relying solely on predetermined static maps.
Solution Approach 2:
The system establishes a feedback loop where road section terminals collect real-time traffic information and transmit it to the cloud control center, which then uses this feedback to optimize route planning. The feedback mechanism ensures that route recommendations are continuously updated based on actual road conditions, improving both real-time accuracy and adaptability to changing traffic scenarios.
3Reliability
If the perception system is made highly accurate to ensure safety, then the driving path formation reliability is improved, but the system complexity and failure points increase
Solution Approach 1:
The patent extracts the complex perception and traffic information collection function from the vehicle system and relocates it to road section terminals. By taking out the sensing and data collection responsibilities from individual vehicles and placing them in dedicated road infrastructure terminals, the system reduces the number of sensing devices required in each vehicle while maintaining or improving the reliability of driving path formation through centralized, specialized information gathering.
Data Source
AI summary
An intelligent driving system (10). A vehicle-mounted subsystem (100), a road subsystem (200), and a platform subsystem (300) are provided, wherein traffic information of each road section is acquired in real time by using the road subsystem (200), and traveling paths of vehicles in each road section are obtained according to the traffic information; the platform subsystem (300) comprehensively obtains, according to the traffic information of each road section, traffic information of the entire administrative area, and the optimal traveling path; and the vehicle-mounted subsystem (100) provides a traveling path on the basis of the road subsystem (200) and the platform subsystem (300), controls an operation state of the current vehicle in view of a traveling state of itself, and performs traveling path planning according to actual road conditions of each road section, thereby improving the accuracy of traveling path planning and the safety of automatic driving.