Bird's-Eye Route Correction for Driver-Defined No-Entry Areas
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Solution Overview
Problem
Existing vehicle driving assist systems fail to prevent vehicles from entering 'no entry areas' while navigating to a target location, leading to potential collisions or obstacles, as they rely on feature points extracted from images to determine movable areas without considering driver intentions.
Innovation Solution
A vehicle driving assist system equipped with multiple cameras and a controller that generates a bird's-eye view image, allowing drivers to set 'no entry areas' and temporarily stop locations, and adjusts the route in real-time to avoid these areas, using a combination of cameras, ECUs, and display units to ensure safe navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system generates routes based on feature points extracted from images, then the route generation capability is improved, but the system cannot identify no entry areas leading to unsafe navigation
Solution Approach 1:
The system segments the navigation problem into two parts: automatic route generation based on feature points, and manual no entry area designation by the driver. This segmentation allows the system to maintain automated route planning capabilities while incorporating driver intent through separate user input for prohibited areas.
Solution Approach 2:
The driver designates no entry areas before the vehicle executes the automated route. This preliminary action allows the system to pre-process the route information and identify potential conflicts between the generated path and driver-defined prohibited zones before navigation begins.
2Ease of operation
If the system automatically generates routes without driver input on no entry areas, then the ease of operation is improved, but the system may violate driver intentions and enter prohibited areas
Solution Approach 1:
The system implements partial automation where only certain aspects of route planning are automated (path generation based on feature points), while other aspects requiring driver judgment (no entry area designation) remain manual. This partial approach balances ease of operation with adaptability to driver intentions.
Solution Approach 2:
The bird's-eye view image serves as an intermediary interface between the automated route generation system and the driver. It displays both the generated route and allows driver interaction to designate no entry areas, mediating between automated capabilities and driver intent.
3Reliability
If the system corrects the route to avoid no entry areas, then the navigation safety is improved, but the route planning complexity increases
Solution Approach 1:
The system uses feedback from the driver-designated no entry areas to correct the automatically generated route. The route correction process continuously checks whether the generated path intersects with prohibited zones and adjusts the path accordingly, creating a feedback loop that ensures safety while maintaining relatively simple processing.
Data Source
AI summary
A vehicle driving assist system includes a controller and a display. The controller is configured to generate a bird's-eye view image based on information on images around a vehicle, respectively captured by cameras, and acquire a target route from a current location of the vehicle to a target stop location set by a driver. The display is configured to display the bird's-eye view image and the target route and allow the driver to use the bird's-eye view image to set a no entry area. The controller is configured to, when the controller determines that the vehicle enters the no entry area if the vehicle moves along the target route, correct the target route such that the vehicle does not enter the no entry area and cause the vehicle to move to the target stop location along the corrected target route and stop at the target stop location.