Autonomous Vehicle Trajectory Weighting for User Preference
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle control systems for autonomous driving do not allow users to customize the vehicle trajectory according to their preferences, leading to inconvenience, especially for drivers who may not be confident in their manual driving skills.
Innovation Solution
A vehicle control system that includes a weight acquisition device to gather user-designated weights for both target and manual driving trajectories, and a trajectory adjusting device to integrate these trajectories, allowing the vehicle to follow a user-preferred path in autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the target trajectory is uniformly set for autonomous driving, then the automation extent is improved, but the adaptability deteriorates
Solution Approach 1:
The system dynamically adjusts the trajectory by integrating the target trajectory (from autonomous control) and manual driving trajectory (from user preference) using weight parameters. The integration ratio is not fixed but can be adjusted based on user input, making the system adaptable while maintaining automation.
Solution Approach 2:
The system changes the parameter of trajectory integration by introducing weight parameters that represent user preference. By adjusting these weights, the system can shift between fully autonomous trajectory and manual-driven trajectory, providing adaptability without sacrificing automation capability.
2Adaptability or versatility
If the manual driving trajectory is used as target trajectory, then the user preference is reflected, but the automation extent deteriorates
Solution Approach 1:
The system merges the target trajectory (generated by autonomous control system) and manual driving trajectory (reflecting user preference) into an integrated target trajectory. This combination allows both automation and user preference to coexist, with the integration controlled by weight parameters.
Solution Approach 2:
The integrated target trajectory acts as an intermediary between the autonomous control system and the manual driving trajectory. It mediates between automated decision-making and user preference, allowing the system to maintain automation while adapting to individual user characteristics.
3Adaptability or versatility
If the trajectory integration is made flexible with user weights, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The system achieves flexibility through parameter changes rather than structural complexity. By adjusting weight parameters that represent user preference, the system can adapt trajectories without adding complex hardware or control structures. The complexity remains minimal as it relies on mathematical integration of existing trajectories.
Data Source
AI summary
A vehicle control system includes a vehicle control apparatus configured to set a target trajectory of a vehicle in autonomous driving, a manual driving database configured to contain manual driving trajectory information that indicates a manual driving trajectory that is a trajectory of the vehicle in manual driving, a weight acquisition device configured to acquire weight information that indicates weights of the target trajectory and manual driving trajectory, the weights being designated by a user of the vehicle, and a trajectory adjusting device configured to determine an integrated target trajectory by integrating the target trajectory and the manual driving trajectory based on the weights indicated by the weight information. The vehicle control apparatus is configured to control the autonomous driving of the vehicle such that the vehicle follows the integrated target trajectory.