Autonomous Vehicle HUD Curating Scenario Data for Safety Drivers
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Solution Overview
Problem
Current autonomous vehicle systems face challenges in effectively presenting relevant autonomy-system-based information to safety drivers, leading to potential delays and inaccuracies in switching from autonomous to manual mode, and increase operational costs due to the need for safety engineers to relay complex data, which can overwhelm and distract safety drivers.
Innovation Solution
A method that uses data characterization to determine when to present scenario-based information to safety drivers through a heads-up display or speaker system, focusing on key data points such as scenario types, likelihood of contact, urgency levels, and disengagement needs, minimizing irrelevant information and reducing the reliance on safety engineers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive autonomy-system data is presented to safety drivers, then decision accuracy improves, but driver distraction and information overload increase
Solution Approach 1:
The patent segments autonomy-system information into distinct categories (sensor data, system status, environmental factors) and presents only the relevant segments to the safety driver based on current operational context, rather than displaying all available data simultaneously. This reduces information overload while maintaining decision accuracy.
Solution Approach 2:
The system applies local quality by tailoring the information presentation to specific driving scenarios and driver needs. Different types of autonomy-system data are selectively displayed based on the current operational context, ensuring that only locally relevant information is presented to the driver at any given moment.
2Loss of information
If safety engineers relay complex autonomy data to drivers, then information completeness improves, but operational costs and response time increase
Solution Approach 1:
The system enables self-service by automatically processing and filtering autonomy-system data through onboard algorithms that identify and present only the most relevant information to the safety driver. This eliminates the need for safety engineers to manually relay data, reducing operational costs and response time while maintaining information completeness.
Solution Approach 2:
The patent replaces the mechanical intermediary process (safety engineers relaying data) with an automated electronic information processing system. The onboard computing system directly analyzes autonomy-system data and presents curated information to the driver, substituting human mediation with automated mechanical/electronic processes that are faster and more efficient.
3Ease of operation
If filtered autonomy-system information is presented to drivers, then driver focus improves, but decision-making speed may decrease
Solution Approach 1:
The system performs preliminary action by pre-processing autonomy-system data in advance and organizing it into pre-curated formats before presentation to the driver. This preliminary organization of information reduces the cognitive load during critical decision moments, maintaining both driver focus and decision-making speed.
Solution Approach 2:
The system implements feedback mechanisms that monitor driver response times and information processing patterns, continuously optimizing which autonomy-system data is presented and how it is formatted. This adaptive feedback ensures that filtered information maintains decision-making speed while improving driver focus.
Data Source
AI summary
Examples disclosed herein may involve (i) obtaining data that characterizes a current scenario being faced by a vehicle that is operating in an autonomous mode while in a real-world environment, (ii) based on the obtained data that characterizes the current scenario being faced by the vehicle, determining that the current scenario being faced by the vehicle warrants presentation of scenario-based information to a user (e.g., an individual tasked with overseeing operation of the vehicle), and (iii) in response to the determining, presenting a given set of scenario-based information to the user via one or both of a heads-up-display (HUD) system or a speaker system of the vehicle.