Vehicle Perception Resource Tuning by Driving Scenario
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Solution Overview
Problem
Existing assisted and autonomous driving systems lack efficient classification systems and methods for optimizing resource allocation and usage during driving scenarios.
Innovation Solution
A computer-implemented method and system that receives scenario information about a vehicle's environment, identifies the scenario, determines resource operation parameters based on the scenario, and makes these parameters available for optimizing perception-related processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If resource operation parameters are fixed for all scenarios, then system complexity is reduced, but perception accuracy and performance deteriorate in scenario-specific conditions
Solution Approach 1:
The system dynamically adjusts resource operation parameters based on the identified driving scenario. The processing circuit receives scenario information, identifies the current scenario, and determines appropriate resource operation parameters specific to that scenario, enabling the system to adapt its perception process resources dynamically rather than using fixed parameters for all conditions
Solution Approach 2:
The system changes operational parameters based on scenario identification. Different resource operation parameters are determined for different scenarios, allowing the perception process to be optimized for specific driving conditions while maintaining manageable system complexity through structured parameter management
2Productivity
If scenario-specific resource operation parameters are determined, then perception process performance is improved, but processing time and computational overhead increase
Solution Approach 1:
The system performs scenario identification and resource operation parameter determination as preliminary steps before executing the perception process. By pre-determining the appropriate parameters based on the current scenario, the system avoids time-consuming adjustments during the actual perception process, thereby improving overall efficiency while minimizing processing overhead
3Measurement precision
If comprehensive scenario information is processed, then classification accuracy is improved, but resource consumption during processing increases
Solution Approach 1:
The system applies different resource operation parameters to different aspects of the perception process based on the identified scenario. Rather than uniformly increasing all processing resources, the system selectively adjusts parameters where they are most needed for the specific scenario, thereby improving classification accuracy while minimizing overall energy consumption
Data Source
AI summary
A method that is computer implemented and is for perception related processes, the method includes (i) receiving, by a processing circuit of the vehicle, scenario information about a scenario faced by a vehicle; wherein the scenario information includes environmental information about an environment of the vehicle; (ii) identifying the scenario, by the processing circuit, using the received scenario information; (iii) determining, based on the identified scenario, a resource operation parameter that conform to the identified scenario and is related to operation of a perception related process; and (iv) making the resource operation parameter available in the operation of the perception related process.