Vehicle Driving Intent Dispatch Using Global Occupancy Grid Coordination
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Solution Overview
Problem
In the human-vehicle co-driving mode of intelligent driving, existing technologies fail to effectively co-dispatch driving intentions of multiple vehicles within a certain area range, leading to potential collisions and reduced traffic efficiency due to the lack of global perception and coordination of driving intentions.
Innovation Solution
A method and system for regionally co-dispatching driving intentions of intelligent vehicles, which involves acquiring state and position information, generating a global driving intention graph, constructing a dispatching area occupancy grid map model, and co-dispatching driving intentions to guide vehicle decisions, using a convolutional neural network for intention recognition and a cloud dispatching system for unified control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle-to-vehicle communication and V2X technology are used to monitor driving intentions, then local driving intention detection is improved, but global perception and co-dispatching of driving intentions within area range cannot be achieved
Solution Approach 1:
The patent merges individual vehicle driving intention data from multiple vehicles within an area range into a unified global driving intention graph. The cloud-based dispatching system aggregates driving intention information from multiple sources (vehicle sensors, V2X communication) to create a comprehensive global perception model that covers the entire area range, enabling coordinated dispatching decisions across all vehicles.
Solution Approach 2:
The patent introduces a cloud-based dispatching system as an intermediary that receives driving intention data from multiple vehicles, processes this information to generate a global driving intention graph, and returns coordinated dispatching instructions to individual vehicles. This intermediary enables global perception and coordination without requiring direct peer-to-peer communication between all vehicles.
2Adaptability or versatility
If drivers change driving intentions suddenly to adapt to diverse driving scenarios, then individual vehicle adaptability is improved, but driving safety and traffic efficiency are reduced due to lack of coordination
Solution Approach 1:
The patent implements a feedback mechanism where the cloud-based dispatching system continuously receives driving intention data from vehicles, analyzes the global driving intention graph, and sends back coordinated dispatching instructions. This feedback loop allows individual vehicles to adapt to diverse driving scenarios while maintaining safety through real-time coordination with other vehicles in the area range.
Solution Approach 2:
The patent performs preliminary analysis of driving intentions and potential conflicts before vehicles execute their maneuvers. The cloud-based system generates a global driving intention graph and identifies potential safety issues in advance, then provides coordinated dispatching instructions to prevent conflicts before they occur, rather than reacting to emergencies after they arise.
3Speed
If multiple drivers change driving intentions simultaneously in high traffic flow, then individual vehicle responsiveness is improved, but collision risk increases due to conflicting driving intentions
Solution Approach 1:
The patent applies preliminary anti-action by identifying potential conflicts in driving intentions before they manifest as actual collisions. The cloud-based dispatching system analyzes the global driving intention graph to detect conflicting maneuvers (e.g., simultaneous lane changes by adjacent vehicles) and issues coordinated dispatching instructions to prevent these conflicts, thereby counteracting the harmful effect before it occurs.
Solution Approach 2:
The cloud-based dispatching system acts as an intermediary that coordinates simultaneous driving intention changes across multiple vehicles. When multiple drivers intend to change driving states at the same time, the system mediates these conflicting intentions by generating a coordinated dispatching plan that maintains safety while preserving individual vehicle responsiveness.
4Reliability
If safe distance and speed are maintained between vehicles, then collision prevention is improved, but traffic efficiency is reduced due to excessive spacing
Solution Approach 1:
The patent implements dynamic adjustment of safe distances and speeds based on real-time global driving intention analysis. Rather than maintaining fixed conservative spacing, the cloud-based dispatching system continuously updates coordinated dispatching instructions according to the current driving intentions of all vehicles, allowing vehicles to optimize their spacing dynamically while maintaining safety.
Solution Approach 2:
The patent changes the parameters of safe distance and speed dynamically based on the global driving intention graph and coordinated dispatching results. The system adjusts these safety parameters according to the specific driving scenarios and intentions of vehicles in the area range, enabling tighter spacing when safe and maintaining larger spacing when necessary, thereby optimizing both safety and traffic efficiency.
Data Source
AI summary
A smart vehicle-oriented method and system for collaborative dispatching of driving intents in an area, and a medium. The method includes acquiring state and position information and driving intention information of vehicles in a dis-patching area range, and generating a global graph of the driving intentions of all the vehicles on the basis of the state and position information and driving intention information of the vehicles in the dispatching area range; constructing a dispatching area occupancy grid map model; according to the constructed dispatching area occupancy grid map model performing collaborative dispatching on the global driving intentions of the vehicles in the area range, generating a global dispatching result of the driving intentions of the vehicles; and guiding the driving decisions of the vehicles within the dispatching area range by means of the global dispatching result of the driving intentions of the vehicles within the dispatching area range.