Cognitive Reverse Speed Limiting via Audio Sensor Feedback
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Solution Overview
Problem
The cognitive load on drivers increases during vehicle reversing and parking, especially when dealing with multiple obstacles, ambient noise, and environmental conditions, leading to a heightened risk of collision due to the need for heightened situational awareness and potential distractions.
Innovation Solution
A parking assist system that includes a speed limiting controller, audio sensor, and environmental sensor to detect obstacles, ambient noise, and environmental conditions, which adjusts the vehicle's speed limit to reduce cognitive load and mitigate collision risk by generating a brake torque request based on these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle speed is increased during reversing or parking maneuvers, then the productivity of the maneuver is improved, but the cognitive load on the driver increases and collision risk increases
Solution Approach 1:
The system dynamically adjusts the speed limit based on real-time sensor data detecting obstacles, pedestrians, and environmental conditions. The speed limiting controller continuously monitors the operating environment and modifies the speed limit parameter dynamically, allowing higher speeds when safe and automatically reducing speeds when obstacles or distracting conditions are detected, thus resolving the contradiction between maneuver efficiency and collision risk
Solution Approach 2:
The system employs multiple sensors (cameras, LIDAR, ultrasonic sensors) that provide continuous feedback about the environment around the vehicle. This feedback loop allows the speed limiting controller to adjust the speed limit based on actual conditions rather than using a fixed speed limit, enabling the system to optimize both productivity and safety by responding to real-time changes in the operating environment
2Reliability
If the driver monitors multiple areas (front corners, sides, rear) during reversing, then the situational awareness is improved, but the cognitive load on the driver increases
Solution Approach 1:
The system performs self-monitoring of the environment around the vehicle using multiple sensors that automatically detect obstacles, pedestrians, and potential hazards. The system serves itself by continuously assessing the situation and adjusting the speed limit accordingly, freeing the driver from the cognitive burden of monitoring all areas while maintaining comprehensive situational awareness through automated sensor-based detection
3Reliability
If perimeter sensing and collision mitigation features are implemented, then the collision risk is reduced, but the device complexity increases
Solution Approach 1:
The system uses a multi-functional sensor array that serves multiple purposes: obstacle detection, pedestrian detection, environmental condition monitoring, and speed limit adjustment. Rather than implementing separate dedicated systems for each function, the same sensor infrastructure supports all collision mitigation needs, reducing overall system complexity while maintaining comprehensive safety coverage
Data Source
AI summary
A parking assist system for a vehicle is provided that includes a speed limiting controller configured to set a speed limit for the vehicle during a maneuver and an audio sensor configured to sense an ambient sound within the vehicle. The speed limiting controller is configured to reduce the speed limit based on the sensing of the ambient sound within the vehicle.