Vehicle Driver Assistance Maneuver Corridor Obstacle Detection
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Solution Overview
Problem
Current driver assistance systems face challenges in providing a clear and comprehensive view of a road vehicle's surroundings, especially when navigating tight spaces, as they often rely on color-coded lines and zones that can be difficult to interpret, particularly when using a 360° bird's eye view.
Innovation Solution
An apparatus comprising a vehicle control command acquisition unit, image acquisition unit, image processing unit, and display device that synthesizes camera images to create a bird's eye view, calculates a maneuver corridor, identifies critical obstacles, and determines best camera angles to navigate around them, providing a clear overview and detailed views of critical areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a 360° bird's eye view is used to show the entire vehicle circumference, then the driver can see all surrounding objects, but it becomes difficult to determine distance and judge collision risk
Solution Approach 1:
The system segments the view into two distinct parts: a 360° bird's eye view for overall coverage and separate true-image views from individual cameras for detailed distance judgment. This allows the driver to simultaneously see both the big picture and precise distance measurements to critical obstacles.
Solution Approach 2:
The system adds a dimensional layer by overlaying synthesized vehicle extension lines and maneuver corridor indicators on the bird's eye view. These visual aids provide depth perception and distance reference in the top-down view, helping drivers judge collision risk more accurately.
2Loss of information
If color coded lines and zones are used to indicate vehicle movement, then the driver can see predicted path, but it remains difficult to judge distance to surrounding objects
Solution Approach 1:
The system introduces an intermediary element - the separate true-image display showing the actual camera view with the critical obstacle. This intermediary provides authentic distance reference that complements the predictive color-coded lines, allowing drivers to cross-reference predicted path with actual distance measurements.
3Area of stationary object
If multiple camera images are synthesized to create bird's eye view, then complete surrounding view is provided, but critical details of specific areas are lost
Solution Approach 1:
The system segments the display into two functional areas: the 360° bird's eye view for comprehensive coverage and separate dedicated true-image displays for critical obstacles. This segmentation ensures that detailed views of specific critical areas are not lost while maintaining overall situational awareness.
Solution Approach 2:
The system performs preliminary identification of critical obstacles and pre-positiones separate true-image displays for these areas before the driver needs to examine them in detail. This preliminary action ensures that critical details are readily available without requiring the driver to search through the synthesized view.
Data Source
AI summary
This disclosure relates to an apparatus and a method for road vehicle driver assistance through which it is possible to determine critical obstacles that are within a predetermined proximity of a calculated maneuver corridor of the vehicle, representative of the full vehicle extension, and determination of corresponding critical points of the vehicle calculated to come into the predetermined proximity of the identified obstacles when traversing the calculated maneuver corridor. Separate from the bird's eye image of the vehicle and its surrounding is displayed at least one image acquired from a determined best camera angle and position to navigate critical obstacles. This provides a driver of an associated road vehicle with a clear overview of a current situation and provides immediate access to detailed views of one or more critical areas to navigate.