Driver Assistance System Failure Probability Calculation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated driving systems face increased error probabilities due to sensor failures and adverse weather conditions, necessitating a method to alert and prepare drivers to take over control safely and smoothly.
Innovation Solution
A method calculates the failure probability of vehicle sensors and environmental conditions to determine if a driver needs to assume control, providing pre-warning signals acoustically, visually, or haptically, and monitoring the driver's attention and behavior to ensure a controlled handover of the driving task.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated driving systems operate with high automation levels, then driver workload is reduced and freedom for secondary tasks is increased, but the probability of sensor failure and driving errors increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring sensor health and calculating failure probabilities before actual failures occur. The method calculates a failure probability value using sensor data and environmental conditions, and provides early warning signals to the driver before the automated driving system actually fails, allowing preventive driver intervention.
Solution Approach 2:
The system implements feedback by continuously monitoring sensor performance and providing information about system reliability to the driver. The failure probability calculation uses real-time sensor data and environmental conditions to generate feedback signals that inform the driver about the current reliability state of the automated driving system.
2Reliability
If the system prompts the driver to take over during automated driving, then driving safety is improved, but the driver's secondary task is disrupted
Solution Approach 1:
The system provides preliminary warning signals to the driver before actually requiring takeover, allowing the driver to prepare mentally and physically for the transition. The early warning system gives the driver advance notice while they are still engaged in secondary tasks, so they can gradually shift attention without abrupt disruption.
Solution Approach 2:
The system dynamically adjusts the timing and nature of driver engagement based on calculated failure probabilities. Rather than using fixed thresholds, the system adapts warning signals to the current risk level, allowing flexible management of driver attention and secondary task performance.
3Reliability
If the system provides continuous monitoring of driver attention, then takeover readiness is improved, but system complexity and energy consumption increase
Solution Approach 1:
The system achieves multi-functionality by using existing automated driving sensors (cameras, radar, LIDAR) for dual purposes: both for navigation and for monitoring driver attention and environmental conditions. The same sensor data stream is processed to generate both driving control signals and failure probability assessments.
Data Source
Figure 1
Figure 2
AI summary
The invention relates to a method for assisting an attentiveness and/or driving readiness of a driver (105) during an automated driving process of a vehicle (110), wherein initially, the method comprises a step of calculation, in which a failure probability value (165) is calculated using at least one read-in map information signal (168), environmental condition signal (171), and/or probability signal (174), wherein the failure probability value (165) represents a failure probability of a driver assist system for carrying out an automated driving process. The map information signal (168) hereby represents a road topography and/or confidence topography on a route traveled by the vehicle (110), the environmental condition signal (171) represents a weather condition in an environment of the vehicle (110), and the probability signal (174) represents an error or failure probability of at least one vehicle sensor (125) of the driver assist system. The method further comprises a step of determining, in which a comparison parameter (177) is determined in response to the calculated failure probability value (165), wherein the comparison parameter (177) represents a comparison result of a degree of a necessary driving requirement on the traveling route of the vehicle (110) with a degree of a current attention of the driver (105). Finally, the method comprises a provision step, in which an advance warning signal (183) in response to the determined comparison parameter (177) is provided, wherein the advance warning signal (183) represents an advance warning for actively taking over a vehicle guidance by the driver (105) of the vehicle (110).