Vehicle Telemetry Routing for Pre-Generated Route Switching
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating safely through dynamically changing environments, such as road closures or traffic congestion, as they often require time to generate new routes, which can lead to unsafe conditions or inefficiencies.
Innovation Solution
The implementation of a system that pre-generates alternative routes for autonomous vehicles, allowing them to seamlessly switch to these routes when encountering exceptions, combined with the efficient transmission and analysis of telemetry data for error correction, diagnostics, and route optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the autonomous vehicle generates new routes in real-time when encountering road closures or traffic congestion, then the vehicle can adapt to environmental changes, but the time required to generate new routes leads to unsafe conditions or inefficiencies
Solution Approach 1:
The system pre-generates multiple alternative routes in advance before the autonomous vehicle encounters any exceptions. These alternative routes are stored and ready for immediate deployment when road closures or traffic congestion are detected, eliminating the time delay associated with real-time route generation while maintaining adaptability to environmental changes
2Loss of information
If the system transmits all autonomous vehicle sensor data continuously, then complete data is available for error correction, diagnostics, and route validation, but network bandwidth and processing resources are overwhelmed
Solution Approach 1:
The system implements selective data transmission where different types of sensor data are transmitted with different frequencies and priorities based on their importance. Critical safety-related data is transmitted continuously, while non-critical data is transmitted less frequently or only when anomalies are detected, optimizing network bandwidth utilization while maintaining data completeness for essential functions
Solution Approach 2:
The system transmits only the necessary portion of sensor data required for specific functions such as error correction, diagnostics, and route validation, rather than transmitting all sensor data continuously. This partial transmission approach reduces network and processing complexity while ensuring that sufficient data is available for maintaining safety and performance
Data Source
AI summary
Technologies are disclosed that are used to control the transmission and processing of vehicle telemetry data. Routing data configured to be used to navigate the vehicle is accessed. Using the routing data, telemetry broadcast parameters are generated. The telemetry broadcast parameters are transmitted to the vehicle. Transmissions of telemetry data in accordance with the broadcast parameters are received from the vehicle. The received telemetry data is used in generating a simulated environment for a route planning learning engine, in simulating a vehicle, in validating routes and maps, and/or in performing vehicle diagnostics.