Driver Intent Monitoring for Forward-Reverse Gear Mismatch
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Solution Overview
Problem
Current systems fail to effectively prevent collisions caused by driver confusion between gas-brake pedals or forward-reverse gears, as they lack the capability to accurately determine driver intent and respond accordingly in real-time.
Innovation Solution
A driver monitoring system with sensors (acceleration, LIDAR, radar, ultrasonic, and biosensors) captures driver attributes and environmental data to compare driver intent with vehicle settings, generating a mismatch signal to control braking or acceleration, thereby preventing collisions by providing warnings or restricting vehicle control when a mismatch is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a driver monitoring system with multiple sensors is implemented to accurately determine driver intent, then collision prevention capability is improved, but device complexity increases
Solution Approach 1:
The system segments driver intent determination into multiple independent sensor modules (acceleration sensors, LIDAR, radar, ultrasonic sensors, biosensors) that each capture specific attributes. This segmentation allows the complex function of intent recognition to be divided into manageable components while maintaining high reliability through redundant measurement paths.
Solution Approach 2:
The evaluation processor serves multiple functions: it processes data from all sensor types, determines driver intent, compares intent with gear setting, generates mismatch signals, and controls vehicle responses. This multi-functionality consolidates what would otherwise require separate systems into a single integrated unit, improving reliability without proportionally increasing complexity.
2Reliability
If real-time driver intent determination and vehicle control intervention are implemented, then safety is improved, but response time requirements increase system complexity
Solution Approach 1:
The system continuously monitors driver attributes and determines intent in advance of actual vehicle operation. By evaluating driver intent before gear changes or pedal operations occur, the system can preemptively generate mismatch signals and prepare control interventions, ensuring safety responses occur within critical time windows without requiring overly complex real-time reaction mechanisms.
Solution Approach 2:
The system implements closed-loop feedback by continuously comparing determined driver intent with actual vehicle gear settings and control inputs. When mismatches are detected, the evaluation processor generates signals that feed back to vehicle control systems to correct the discrepancy, creating a self-regulating safety mechanism that maintains reliability without requiring external intervention.
3Measurement precision
If multiple sensor types are used to capture comprehensive driver attributes, then measurement precision is improved, but device complexity increases
Solution Approach 1:
Different sensor types (acceleration, LIDAR, radar, ultrasonic, biosensors) are segmented to capture specific driver attributes independently. Each sensor targets particular aspects of driver behavior or vehicle dynamics, allowing the system to achieve comprehensive and precise intent determination through specialized measurement rather than attempting to capture all attributes with a single sensor type.
Solution Approach 2:
Data from multiple independent sensor types are merged and integrated by the evaluation processor to form a comprehensive view of driver intent. This combination of diverse measurement sources compensates for individual sensor limitations and achieves high measurement precision through data fusion, where the collective information from all sensors provides more accurate intent determination than any single sensor could achieve alone.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces the risk of collisions by accurately determining driver intent and matching vehicle actions, providing timely warnings and control interventions to prevent accidents, especially in low-speed scenarios and during gear transitions.
Implementation Method 1
A driver monitoring system with sensors (acceleration, LIDAR, radar, ultrasonic, and biosensors) captures driver attributes
Implementation Method 2
A driver monitoring system with sensors (acceleration, LIDAR, radar, ultrasonic, and biosensors) captures driver attributes
Implementation Method 3
A driver monitoring system with sensors (acceleration, LIDAR, radar, ultrasonic, and biosensors) captures driver attributes
Implementation Method 4
A driver monitoring system with sensors (acceleration, LIDAR, radar, ultrasonic, and biosensors) captures driver attributes
Data Source
AI summary
A system for comparing driver intent and a gear setting of a vehicle comprises a driver monitoring system including at least one driver monitoring sensor configured to capture attributes of the driver indicative of driver intent regarding an intended direction of travel. The system also comprises an evaluation processor configured to access driver data from the driver monitoring system. The evaluation processor is also configured to generate a mismatch signal in response to determining a mismatch between the driver intent and a gear setting of the vehicle. The evaluation processor may also be configured to control braking and/or acceleration of the vehicle in response to determining a mismatch between the driver intent and a gear setting of the vehicle. The system may also use data regarding an object within a threshold distance from a front or a rear of the vehicle, and/or a requested acceleration above a threshold amount.