Vehicle Pose Validation for Infrastructure-Guided Marshaling
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Solution Overview
Problem
Current vehicle marshaling systems rely on manual operators and require multiple synchronization processes, leading to delays and potential collisions due to communication failures and environmental factors, especially in automatic vehicle marshaling systems where infrastructure systems may be down or experience processing delays.
Innovation Solution
A method where vehicles calculate and update their pose information using onboard sensing systems, validate marshaling instructions with infrastructure systems, and control movement based on marshaling maps, initiating self-emergency stops if necessary, while the infrastructure system updates control commands for other vehicles and alerts operators in case of communication failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual operators are used for vehicle marshaling, then communication failures and environmental factors can be monitored, but delays in vehicle marshaling occur and productivity decreases
Solution Approach 1:
The vehicle autonomously performs marshaling operations using onboard sensors and algorithms to calculate pose information and determine movement commands without manual operator intervention, enabling self-service marshaling that eliminates delays while maintaining safety through continuous validation
Solution Approach 2:
The system continuously validates received marshaling instructions against the vehicle's own calculated pose information and marshaling map, creating a feedback loop that ensures safety while enabling autonomous operation at higher speeds without waiting for manual confirmation
2Adaptability or versatility
If multiple synchronization processes and communication technologies are required, then vehicle on-boarding to convoy can be achieved, but system complexity increases and time loss occurs
Solution Approach 1:
The vehicle receives and stores the complete marshaling map and route information before beginning marshaling operations, performing preliminary on-boarding actions that eliminate the need for complex real-time synchronization during actual marshaling
Solution Approach 2:
The marshaling system is divided into independent components: the vehicle's autonomous navigation system using onboard sensors, and the infrastructure's instruction transmission system, allowing each to operate independently with minimal synchronization requirements
3Reliability
If infrastructure systems are down or experience processing delays, then centralized control can be maintained, but vehicle marshaling delays occur and collision risk increases
Solution Approach 1:
The system dynamically switches between infrastructure-dependent mode (when instructions are received) and autonomous mode (when infrastructure is unavailable), allowing the vehicle to continue marshaling operations without delays while maintaining safety through continuous validation of received instructions
Solution Approach 2:
The vehicle validates received marshaling instructions against its own calculated pose information before executing them, creating a safety buffer that prevents collision even if infrastructure instructions are delayed or incorrect
4Reliability
If vehicles autonomously calculate and validate pose information, then collision risk decreases, but computational requirements and processing time increase
Solution Approach 1:
The vehicle performs validation only on critical aspects of received instructions (pose position matching) rather than complete verification, providing sufficient collision protection while minimizing computational energy consumption
Data Source
AI summary
A method includes calculating, by a vehicle system, a pose information for a vehicle having the vehicle system, determining, by the vehicle system, whether the calculated pose information matches that of a vehicle pose information received from an infrastructure system, updating, by the vehicle system, a current pose of the vehicle based on the calculated pose information, transmitting, by the vehicle system, a notification regarding the inaccurate pose information to the infrastructure system, and controlling, by the vehicle system, movement of the vehicle based on a stored marshaling route until a stop condition is satisfied.


