Driver Assistance Path Control for Obstacle Avoidance Near Lane Markers
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Solution Overview
Problem
Existing driver assistance systems fail to effectively detect and avoid collisions with two-wheeled vehicles, pedestrians, and other objects without disrupting traffic flow.
Innovation Solution
A driver assistance apparatus equipped with a camera and radar system that processes image and radar data to determine collision risks and controls vehicle steering and braking to navigate around obstacles while maintaining safe distances and lane positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver assistance system actively avoids all detected objects, then collision avoidance is improved, but traffic flow interference increases
Solution Approach 1:
The system applies different avoidance strategies to different objects based on their type and position. Two-wheeled vehicles and pedestrians receive full avoidance action, while lane-line objects receive conditional avoidance only when collision risk is high, creating localized quality differences in the avoidance response
Solution Approach 2:
The avoidance path generation is dynamic and adaptive, adjusting the avoidance behavior based on real-time object detection results. The system dynamically determines whether to generate an avoidance path by evaluating multiple factors including object type, position, and collision risk, rather than applying static avoidance to all objects
2Reliability
If the system generates avoidance paths for all objects, then collision avoidance is improved, but system complexity increases
Solution Approach 1:
The system segments the avoidance decision-making process into distinct evaluation stages: object detection, object type classification, collision risk assessment, and avoidance path generation. This segmentation allows the system to selectively apply complex processing only where necessary, reducing overall system complexity while maintaining safety
Solution Approach 2:
The processor acts as an intermediary that mediates between object detection and avoidance path generation. It introduces intermediate evaluation steps that filter out low-risk objects before triggering avoidance maneuvers, preventing unnecessary complexity in the avoidance system
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively avoids collisions with two-wheeled vehicles and pedestrians by adjusting vehicle paths and speeds, ensuring safe navigation without interfering with traffic flow.
Implementation Method 1
a camera installed on the vehicle, having a field of view outside the vehicle, and configured to provide image data
Implementation Method 2
a radar installed on the vehicle, having a detection area outside the vehicle, and configured to provide radar data
Data Source
AI summary
Disclosed herein is an apparatus. an apparatus for driver assistance includes a sensor including at least one of a camera or a radar, the camera installed on a vehicle, having a field of view outside the vehicle, and configured to provide image data, and the radar installed on the vehicle, having a detection area outside the vehicle, and configured to provide radar data, and at least one processor configured to control the vehicle based on processing at least one of the image data or the radar data. The at least one processor may be configured to avoid a front object of the vehicle based on processing the at least one data; provide an avoidance path based on a position of the front object in response to a distance between the front object and a lane line marker that is greater than or equal to a first reference distance, provide an avoidance path based on a position of the lane line marker in response to the distance between the front object and the lane line marker that is less than the first reference distance, and control the vehicle to travel along the avoidance path.