Eye Gaze Sequence Recognition for Reliable Lane Change Activation
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Solution Overview
Problem
Existing vehicular vision systems prone to false activations in driver monitoring, particularly in initiating automotive functions like lane changes, due to unreliable eye gaze recognition.
Innovation Solution
A system utilizing an inward-looking camera to capture driver eye gaze patterns, recognizing a predetermined transition sequence between specific target areas within a threshold time to initiate a vehicle lane change, with feedback mechanisms to confirm or abort the action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple eye gaze detection is used to initiate lane changes, then ease of operation is improved, but false activations increase reducing reliability
Solution Approach 1:
The eye gaze detection is divided into multiple independent target areas (roadway, side mirror, center console) with distinct functions. The system segments the gaze detection process into sequential steps: detecting initial roadway gaze, then side mirror gaze, then center console gaze. This segmentation allows each segment to be validated independently, reducing false activations while maintaining ease of operation through natural driver behavior patterns.
Solution Approach 2:
The system requires preliminary actions in a specific sequence before initiating lane change: first the driver must gaze at the roadway for a threshold duration, then gaze at the side mirror, then gaze at the center console. These preliminary actions serve as validation steps that confirm driver intent before the actual lane change activation, thereby improving reliability without significantly complicating operation.
2Reliability
If multiple target area gaze sequences are required, then reliability is improved, but device complexity increases
Solution Approach 1:
A single inward-facing camera performs multiple functions: it detects driver presence, tracks eye gaze direction, identifies target area attention, and validates gaze sequences. This multi-functionality reduces the need for additional sensors and complex hardware while maintaining high reliability through software-based sequence validation. The camera system is universally applied across all detection needs, simplifying the overall device architecture.
Solution Approach 2:
The system introduces an intermediary processing layer that translates raw camera data into meaningful gaze events. This intermediary layer includes algorithms that determine whether gaze is directed at specific target areas, validate sequence patterns, and filter out accidental or premature activations. This intermediary processing simplifies the connection between the simple camera input and the complex lane change activation logic, reducing overall system complexity while maintaining reliability.
3Measurement precision
If eye gaze pattern recognition with time thresholds is implemented, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system applies different time threshold criteria to different target areas based on their functional importance. The roadway gaze requires a longer threshold duration to confirm genuine driver attention, while side mirror and center console gazes have different threshold requirements. This local quality approach optimizes measurement precision for each target area's specific function while keeping the overall detection system manageable through context-specific parameters.
Data Source
AI summary
A system and method for vehicle lane change activation by eye gaze pattern recognition that includes capturing and sending, using an inward-looking vehicle camera, a video stream of a face of a driver. Based on the video stream a series of eye gaze directions of the driver is estimated and associated with one or more target areas. The computing module controller then recognizes a predetermined transition sequence in the series of eye gaze directions of the driver between a first target area and a second target area, wherein the recognition of the predetermined transition sequence occurs within a first threshold amount of time. Based on the recognition of the predetermined transition sequence in the series of eye gaze directions between the first target area and the second target area, an initiation of a lane change of the vehicle on a roadway is triggered.