Driving Assistant Device Risk Control via Time to Collision
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Solution Overview
Problem
Drivers face challenges in controlling a car's steering system, brake, headrest, and belt to suit various driving situations, as it is impractical to manually adjust these components in response to changing road conditions and objects on the road.
Innovation Solution
A driving assistant device comprising a detection unit to identify road edges, lanes, and objects, a calculation unit to determine distances and time to collision (TTC), a management unit to set risk levels based on TTC, and a control unit to adjust the indicator, steering system, brake, and belt accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the driver manually controls the steering system, brake, headrest, and belt to suit various driving situations, then the driver can respond to road conditions, but it is impractical to adjust these components in response to changing road conditions and objects
Solution Approach 1:
The driving assistant device automatically detects road conditions, calculates risk levels, and controls driving components without driver intervention. The detection unit identifies edges, lanes, and objects, the calculation unit computes distances and TTC, the management unit sets risk levels, and the control unit adjusts steering, brake, and safety features autonomously, making the system self-sufficient in responding to varying driving situations
Solution Approach 2:
The patent replaces manual mechanical adjustment of driving components with an automated electronic control system. Instead of the driver physically adjusting steering, brake, and safety features based on visual assessment, the system uses detection units (cameras, sensors), calculation units (processors computing TTC and risk levels), and control units to electronically manage these components, substituting mechanical driver action with automated electronic control
2Loss of information
If the indicator reports various conditions to which the car is exposed, then the driver is notified of road conditions, but it is almost impossible for the driver to control the steering system and brake and to set the headrest and the belt in order to suit the various situations
Solution Approach 1:
The system establishes a closed-loop feedback mechanism where the detection unit continuously monitors road conditions, the calculation unit processes this information to compute risk levels and TTC, and the control unit adjusts driving components based on this feedback. This continuous loop ensures the system responds dynamically to changing conditions, with the indicator providing visual feedback while the automated control system simultaneously adjusts steering, brake, and safety features based on the computed risk levels
Solution Approach 2:
The system performs preliminary calculations of risk levels and time to collision (TTC) before critical situations occur. By continuously computing potential risks based on detected objects and road conditions, the system prepares control commands in advance, adjusting driving components proactively rather than reactively, ensuring safety measures are already in place before hazardous situations develop
Data Source
AI summary
A driving assistant device includes: a detection unit configured to detect at least one of an edge of a road, a lane of the road, and an object positioned within a certain range on the road; a calculation unit configured to calculate distance from the edge, distance from the lane, distance from the object, and speed of the object, and to calculate time to collision (TTC) with each of the edge, the lane, and the object based on the calculated distances and speed; a management unit configured to set a risk level of at least each one of the edge, the lane, and the object, and to adjust the risk level based on the TTC; and a control unit configured to control at least one of an indicator, a steering system, a brake, a headrest, and a belt according to the risk level.