Driver Assistance Corridor Training for Adaptive Vehicle Trajectories
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current driver assistance systems for vehicles lack effective support for navigating complex trajectories, particularly in variable environments, and struggle to adapt to dynamic obstacles and user preferences during automated driving.
Innovation Solution
A training method that records a sequence of camera images during a guided vehicle run, determines a driving corridor through image processing, and allows user input for adapting this corridor, enabling semi-automatic or automatic navigation while avoiding obstacles and maintaining user control over trajectory preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed trajectory is used for driver assistance, then the system is simple to implement, but it cannot adapt to dynamic obstacles or user preferences
Solution Approach 1:
The system performs preliminary actions by recording a video sequence during a training run where the user manually drives along the desired trajectory. Image processing is performed in advance to determine the driving corridor and store it for later automated execution, eliminating the need for real-time complex calculations during actual driver assistance operation.
Solution Approach 2:
The system makes the previously static trajectory dynamic by allowing the vehicle to move within a determined driving corridor rather than following a fixed path. The corridor provides flexibility to adapt to dynamic obstacles while maintaining the overall desired trajectory, resolving the contradiction between adaptability and system complexity.
2Reliability
If the vehicle follows a precise trajectory, then navigation accuracy is improved, but the vehicle cannot avoid non-stationary obstacles
Solution Approach 1:
The system segments the trajectory into a central desired path and an surrounding driving corridor. The vehicle is allowed to deviate within the corridor boundaries when obstacles are detected, while still maintaining overall trajectory accuracy. This segmentation allows simultaneous achievement of precise navigation and obstacle avoidance.
3Reliability
If the driving corridor is strictly enforced, then the vehicle avoids unwanted areas, but it cannot navigate around obstacles within the corridor
Solution Approach 1:
The system uses camera-based obstacle detection providing real-time feedback during automated driving. When obstacles are detected within the driving corridor, the control device adjusts the vehicle's path dynamically while keeping the vehicle within corridor boundaries, allowing flexible obstacle avoidance while maintaining reliability.
Data Source
AI summary
A training method for a driver assistance method of a vehicle. The method includes: recording a sequence of camera images during a training run of the vehicle, guided by a user, along a desired trajectory; determining a driving corridor for the driver assistance method along the desired trajectory based on image processing of the recorded sequence of camera images; displaying the recorded sequence of camera images and/or a surrounding environment model determined based on the recorded sequence of camera images on a display, at least the determined driving corridor being displayed as an overlay superimposed on the display; and storing the driving corridor in an electronic memory of the vehicle, a recording of an input by the user for adapting a boundary of the determined driving corridor during the displaying and an adapting of the determined driving corridor based on the recorded input being carried out.