Fear-Based ADAS Control for Driver Distraction and Road Hazards
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Solution Overview
Problem
Current advanced driving assistance systems (ADAS) for computer-assisted driving vehicles lack a feature to mitigate human driver distractions, undisciplined driving, and reactions to unusual road hazards, leading to accidents, and existing solutions for monitoring driver attention have slow market adoption and are not integral to built-in systems.
Innovation Solution
A cognitive robotic system with integral fear-based action/reaction technology, mimicking the human autonomic nervous system, that includes emotional and thinking circuitry to perceive and respond to potential threats, communicate fear levels to nearby robots, and create social fear memory for improved learning and safety actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current ADAS features (parking assist, lane departure warning, cruise control) are implemented, then driver comfort and basic safety are improved, but the system cannot handle undisciplined driving, driver distraction, and unusual road hazards
Solution Approach 1:
The patent changes the operational parameters of the ADAS by introducing a fear-based response system that dynamically adjusts vehicle control parameters (acceleration, braking, steering) based on detected threat levels and driver state, enabling the system to adapt to undisciplined driving and unusual hazards beyond predefined scenarios
Solution Approach 2:
The system transitions from static, pre-programmed safety features to a dynamic response mechanism that continuously monitors driver behavior, environmental hazards, and threat levels, automatically adjusting its control intervention strategy in real-time based on the evolving situation
2Reliability
If targeted driver monitoring products are retrofitted into CAD vehicles, then driver attention can be monitored and warnings displayed, but market adoption is slow and they are not integral to built-in ADAS systems
Solution Approach 1:
The patent merges driver monitoring, threat detection, and vehicle control functions into a single integrated ADAS architecture, combining emotional circuitry, thinking circuitry, and driving control units into one cohesive system that is built-in rather than retrofitted, thereby simplifying manufacturing and accelerating adoption
3Loss of information
If human drivers are provided with warnings about road conditions and hazards, then awareness is improved, but drivers may not heed warnings due to distraction, false alerts, or being in a rush
Solution Approach 1:
The system implements a closed-loop feedback mechanism where driver responses to warnings are continuously monitored and used to adjust future warning strategies, while simultaneously implementing fear-based automatic control interventions that directly act on the vehicle when threats are detected, ensuring safety actions are taken regardless of driver attention
Solution Approach 2:
The patent introduces an intermediary fear-based control system that acts between hazard detection and vehicle response, automatically executing safety maneuvers when threats are identified, thereby bypassing the need for driver attention and response while still maintaining communication with the driver through notifications
Data Source
AI summary
Apparatuses, storage media and methods associated with cognitive robot systems, such as ADAS for CAD vehicles, are disclosed herein. In some embodiments, an apparatus includes emotional circuitry to receive stimuli for a robot integrally having the robotic system, process the received stimuli to identify potential adversities, and output information describing the identified potential adversities; and thinking circuitry to receive the information describing the identified potential adversities, process the received information describing the identified potential adversities to determine respective fear levels for the identified potential adversities in view of a current context of the robot, and generate commands to the robot to respond to the identified potential adversities, based at least in part on the determined fear levels for the identified potential adversities. Other embodiments are also described and claimed.