Driving Assistance Device Predicting Driver Operation
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Solution Overview
Problem
Existing driving assistance systems often conflict with the driver's intention, leading to uncomfortable feelings and degraded operation due to the inability to accurately incorporate the driver's intentions into vehicle control, particularly when the driver operates the vehicle during assistance.
Innovation Solution
A driving assistance device and method that predicts the driver's operation using musculoskeletal state information and generates a target travel trajectory based on this prediction, adjusting vehicle control to align with the driver's intended actions, such as steering and braking, to minimize conflicts and enhance comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If driving assistance control is executed to control the vehicle along a pre-generated target trajectory, then the vehicle can maintain stable lane keeping and follow the planned path, but the driver's intention may be contradicted leading to uncomfortable feeling and degraded operation feeling
Solution Approach 1:
The system performs preliminary action by predicting the driver's operation intention before the driver actually executes the operation. The operation prediction unit analyzes the driver's body posture, muscle activation, and movement trends to forecast upcoming steering, acceleration, or braking actions. This allows the driving assistance control to prepare and adjust the target trajectory in advance, ensuring that the pre-generated trajectory aligns with the driver's intended path, thereby preventing conflicts between automated control and driver intention while maintaining trajectory stability
Solution Approach 2:
The system implements feedback by continuously monitoring the driver's actual operations and comparing them with the predicted operations. When the driver's actual operation deviates from the prediction, the system updates the operation prediction and regenerates the target trajectory accordingly. This closed-loop feedback mechanism ensures that the driving assistance control adapts to the driver's real-time intentions, resolving conflicts between automated lane keeping and driver maneuvering while maintaining overall trajectory stability
2Ease of operation
If the driving assistance control is executed to automatically control the vehicle, then the workload on the driver is reduced, but the driver's intention is difficult to be incorporated leading to conflict between driver operation and assistance control
Solution Approach 1:
The operation prediction unit serves as an intermediary that bridges the gap between the driver's subconscious intention and the automated driving assistance control system. By analyzing physiological signals such as muscle activation patterns, body posture changes, and movement trends, the prediction unit extracts the driver's intended operation before it is physically executed. This intermediary processing allows the automated control system to incorporate driver intention without requiring direct driver input, thus reducing workload while preventing loss of intention information
Solution Approach 2:
The system replaces the traditional mechanical feedback loop (driver senses → driver decides → driver operates) with a bio-signal-based prediction system. Instead of waiting for the driver to physically operate the vehicle controls, the system uses sensors to detect muscle activation and body posture changes, then predicts the intended operation through computational analysis. This substitution of mechanical interaction with bio-signal processing enables the automated control to anticipate and align with driver intention, reducing workload while preserving intention information
Data Source
AI summary
A driving assistance device includes an operation prediction unit and a travel trajectory generation unit. The operation prediction unit predicts that a driving operation is to be performed by a driver of a vehicle before the driver performs the driving operation. The travel trajectory generation unit generates a target travel trajectory of the vehicle based on a prediction result of the driving operation that has been predicted by the operation prediction unit.