Vehicle Trajectory Control Using Sparse Map Exclusion
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Solution Overview
Problem
Existing autonomous driving technologies face challenges in setting an accurate travel route for various situations, leading to potential inaccuracies and safety concerns.
Innovation Solution
A vehicle control system that includes a processor and a vehicle controller, which performs operations such as excluding travel trajectories from data clustering and updating sparse maps, adjusting driving control rights based on travel trajectories, and generating virtual lines to guide vehicle navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous driving technology uses existing route setting methods, then the system can operate with standard algorithms, but the accuracy of travel route for various situations deteriorates
Solution Approach 1:
The system dynamically adjusts the range of driving control rights based on the vehicle's travel trajectory. When the trajectory deviates from the predefined route, the system adaptively modifies the autonomous driving control range, allowing the vehicle to handle various situations while maintaining route accuracy through continuous dynamic adjustment rather than static algorithms
Solution Approach 2:
The system changes the parameter of driving control right range based on trajectory analysis. By monitoring whether the vehicle follows the predefined route and adjusting the control rights accordingly, the system achieves both accurate route setting and adaptability to different driving situations through parameter modification
2Measurement precision
If the system adjusts driving control rights based on travel trajectory, then route accuracy improves, but system complexity increases
Solution Approach 1:
The system applies local quality by adjusting driving control rights specifically based on trajectory deviations rather than overhauling the entire control system. The complexity is localized to the trajectory monitoring and control range adjustment modules, while the rest of the autonomous driving system maintains its original structure, thus improving route accuracy without proportionally increasing overall system complexity
Data Source
AI summary
Disclosed are a vehicle control system and a driving method of a vehicle using the vehicle control system. The vehicle control system includes a processor that processes data related to driving of a vehicle, and a vehicle controller that controls the driving of the vehicle. The processor performs an operation of excluding a travel trajectory from data to be clustered and excluding a travel trajectory in updating a sparse map or an operation of adjusting a range of a driving control right of the vehicle, based on the travel trajectory.