Driving Support Device Adjusts Control Modes by Adjacent Vehicle Position
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional driving support technologies fail to appropriately control in-vehicle devices based on the driver's visibility of adjacent lane vehicles, leading to potential excessive vehicle control.
Innovation Solution
A driving support device that includes an output unit, recognition unit, and control unit to determine and adjust control modes of in-vehicle devices based on the position and visibility of surrounding vehicles on adjacent lanes, using cameras, radar, and LIDAR for vehicle recognition and lane marking detection, and outputs alerts and steering control to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional driving support technologies apply torque to the steering wheel or output alarms when a vehicle is detected on an adjacent lane, then collision risk is reduced, but excessive control is performed when the driver can already see the adjacent vehicle, leading to inappropriate device control
Solution Approach 1:
The system applies different control strategies based on the spatial relationship between the subject vehicle and the adjacent vehicle. When the adjacent vehicle is in a position visible to the driver, no control is applied. When the adjacent vehicle is in a blind spot position, alert control is applied. This localized differentiation resolves the contradiction by matching control intensity to actual risk levels.
Solution Approach 2:
The control mode dynamically changes based on the detected position of the adjacent vehicle. The system transitions between different control states (no control, alert control, strong control) according to real-time spatial conditions, avoiding excessive control when unnecessary while maintaining protection when needed.
2Reliability
If driving support devices continuously monitor and control in-vehicle devices to prevent collisions with adjacent lane vehicles, then safety is improved, but the control does not account for driver visibility, resulting in inappropriate intervention
Solution Approach 1:
The system incorporates feedback about the driver's visibility state by detecting the position of the adjacent vehicle relative to the subject vehicle. This feedback mechanism allows the system to adjust control actions based on whether the driver can already observe the adjacent vehicle, preventing redundant or inappropriate interventions.
Solution Approach 2:
The system performs preliminary assessment of the driver's visibility condition before applying control. By detecting the adjacent vehicle's position in advance and comparing it with the driver's field of view, the system determines whether control intervention is necessary, avoiding loss of information about the driver's situational awareness.
3Reliability
If the system applies strong control measures such as steering torque and multiple alarms, then collision prevention capability is enhanced, but excessive control is applied when the adjacent vehicle is in positions where the driver can already see it
Solution Approach 1:
The monitoring area is segmented into different zones based on driver visibility. The system divides the adjacent lane space into regions where the driver can see vehicles and regions where vehicles are in blind spots. This segmentation allows appropriate control measures to be applied to each zone, reducing unnecessary complexity while maintaining effective collision avoidance.
Data Source
AI summary
A driving support device includes an output unit configured to output information, a recognition unit configured to recognize surrounding vehicles existing around a subject vehicle, and a control unit configured to determine control modes of in-vehicle devices of the subject vehicle on the basis of a position of a surrounding vehicle existing on an adjacent lane adjacent to a subject lane on which the subject vehicle exists among one or more surrounding vehicles recognized by the recognition unit.


