Driving Support Device Object Position Control
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Solution Overview
Problem
Existing vehicle driving support devices primarily focus on avoiding collisions with parallel vehicles and do not adequately consider protection for specific objects like pedestrians, leading to insufficient safety measures.
Innovation Solution
A driving support device that uses sensors to recognize the positions of specific objects and road markings, employing different control strategies based on the object's location relative to an imaginary line extending along the vehicle's travel direction, including steering and braking controls to prevent lane deviation and collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single unified control strategy is used for all objects detected, then the control system is simple to implement, but it cannot adequately protect specific objects like pedestrians while maintaining vehicle stability
Solution Approach 1:
The control system segments detected objects into different categories (specific objects like pedestrians and general objects like vehicles) and applies different control strategies to each category. This segmentation allows the system to provide enhanced protection for vulnerable road users while maintaining appropriate response for other objects, resolving the contradiction between reliability for specific objects and overall system simplicity.
Solution Approach 2:
The system applies different control qualities to different spatial regions and object types. When a specific object is detected in the lateral direction, a first control strategy (avoiding lane change) is applied; when detected in the forward direction, a second control strategy (maintaining lane) is applied. This local differentiation of control quality enables targeted protection for pedestrians while maintaining vehicle stability for other scenarios.
2Reliability
If the vehicle performs aggressive avoidance maneuvers to protect specific objects, then collision risk with pedestrians is reduced, but driver discomfort and potential loss of vehicle control increases
Solution Approach 1:
The control system dynamically adjusts the avoidance maneuver based on real-time conditions. When a specific object is detected laterally, the system performs lane-change avoidance only when safe and appropriate, rather than always maintaining the current lane. This dynamic adjustment balances collision avoidance effectiveness with driver comfort and vehicle controllability.
Solution Approach 2:
The system changes control parameters (steering angle, braking force) based on the detected object's position and type. For lateral detections of specific objects, the system applies moderate avoidance maneuvers that prioritize driver comfort while still preventing collisions. This parameter adjustment resolves the contradiction between aggressive collision avoidance and driver comfort.
3Reliability
If the vehicle maintains strict lane discipline to protect specific objects, then pedestrian safety is improved, but the vehicle cannot respond appropriately to legitimate lane change needs
Solution Approach 1:
The lane maintenance control dynamically adapts based on the detected object's position. When a specific object is detected laterally (indicating potential lane change intent), the system maintains the current lane to protect the object. When no such object is detected or the object is in the forward direction, the system allows normal lane changing. This dynamic behavior resolves the contradiction between pedestrian protection and lane change adaptability.
Solution Approach 2:
The system applies different lane control qualities to different spatial contexts. In regions where specific objects are detected laterally, strict lane maintenance is applied. In other regions, normal lane change operations are permitted. This local differentiation enables both pedestrian protection and legitimate lane change operations.
Data Source
AI summary
The driving support device includes: a recognition section configured to recognize each positions of a specific object and a road marking with reference to peripheral information of a own vehicle acquired by a sensor section configured to acquire the peripheral information; and a control section configured to perform different controls on the own vehicle, with reference to recognition results of the recognition section, depending on whether the specific object is present in a first state or a second state, the first state being a state where the specific object is present in a region more outside than a traveling lane with respect to an imaginary line that extends along a traveling direction of the own vehicle, the second state being a state where the specific object is present in a region on a more central side of the traveling lane with respect to the imaginary line.