Autonomous Driving Rule-Risk Assessment for Unavoidable Violations
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Solution Overview
Problem
Existing driving assistance systems for autonomous vehicles primarily focus on detecting violations of traffic rules but fail to minimize risks associated with unavoidable rule violations, such as legal penalties, property damages, and personal injuries.
Innovation Solution
A driving assistance device and method that acquires vehicle and environmental information, processes it to identify relevant information categories, retrieves related traffic rules, and determines the risks of a driving behavior, enabling an optimized decision to minimize negative impacts when rule violations cannot be avoided, using a closed-loop control system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driving assistance system only detects traffic rule violations, then the system complexity is low, but the ability to minimize risks of unavoidable violations is insufficient
Solution Approach 1:
The driving assistance device is divided into multiple functional modules: acquisition module for collecting information, pre-processing module for categorizing information, determining module for assessing violations and risks, and decision module for selecting optimal actions. This segmentation allows the system to handle complex risk minimization tasks while maintaining manageable system architecture.
Solution Approach 2:
The system performs preliminary assessment of potential traffic rule violations before they occur by analyzing acquired information through pre-processing and determination modules. This allows the decision module to proactively select driving actions that minimize risks of unavoidable violations, rather than merely reacting to detected violations.
2Ease of operation
If the system assesses multiple risk factors (legal penalty, property damages, personal injury), then the decision quality improves, but the information processing complexity increases
Solution Approach 1:
The determining module assesses different risk factors (legal penalty, property damages, personal injury) with different weights and importance levels. This local quality approach allows the system to prioritize critical risks while processing multiple factors, improving decision quality without requiring equal-depth analysis of all risk dimensions.
Solution Approach 2:
The determining module serves multiple functions: it categorizes information, assesses traffic rule violations, evaluates multiple risk factors simultaneously, and provides inputs for decision-making. This multi-functionality consolidates what could be separate complex systems into a single integrated module.
3Measurement precision
If the system processes more information categories, then the accuracy of risk determination improves, but the processing time increases
Solution Approach 1:
The pre-processing module categorizes acquired information into relevant categories before the determining module assesses violations and risks. This preliminary categorization organizes data in advance, allowing the determining module to quickly retrieve and evaluate only the necessary information categories for each specific situation, rather than processing all possible information types.
Data Source
AI summary
A driving assistance device for a vehicle includes an acquisition module configured to acquire information comprising at least one of vehicle state information and environment information surrounding the vehicle; a decision module configured to determine a driving behavior for the vehicle in an autonomous driving mode based on the acquired information; a pre-processing module configured to process the acquired information to identify a respective information category among a plurality of predefined information categories the acquired information belongs to; and a determining module configured to retrieve one or more traffic rules related to the information category the acquired information belongs to from a traffic rule database pre-stored in the driving assistance device; determine whether the driving behavior violates any of the retrieved traffic rules; and determine risks of said driving behavior if it is determined the driving behavior violates at least one of the retrieved traffic rules, said risks comprising one or more of the legal penalty, property damages and personal injury caused by the driving behavior.