Mixed-Mode Driving Control for Manual-Autonomous Operation Assignment
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Solution Overview
Problem
Existing mixed mode automated driving systems face challenges in determining compatible manual and autonomous driving features, leading to inconsistencies and inefficiencies in vehicle operation.
Innovation Solution
A mixed mode driving controller that allows users to select and assign driving operations between human and computer control, using a recommendation module to determine optimal control based on user profiles, vehicle data, and environmental conditions, enabling fine-tuned control in various situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated driving operations are combined with manual driving operations in mixed mode, then the versatility and adaptability of the vehicle is improved, but the complexity of determining compatibility between control modes increases
Solution Approach 1:
The patent segments driving operations into distinct categories (steering, acceleration, braking) and evaluates compatibility at the segment level. The system divides the driving task into manageable components that can be independently assessed for manual-automated compatibility, reducing the overall complexity of the determination process.
Solution Approach 2:
The system dynamically adjusts control mode assignments based on real-time conditions, user preferences, and operational context. The compatibility determination is not static but adapts continuously to changing driving scenarios, allowing the vehicle to optimize the mix of manual and automated operations as conditions evolve.
2Loss of information
If the system provides detailed routing options with autonomous and manual control segments, then the information completeness is improved, but the complexity of processing and presenting route information increases
Solution Approach 1:
The routing system divides the journey into segments with different control modes (fully autonomous, semi-autonomous, manual). Each segment is independently analyzed and presented, allowing the system to provide detailed control information without overwhelming the user with a monolithic route description.
Solution Approach 2:
The system provides partial route information initially, focusing on key segments where control mode transitions occur. Detailed information about each segment is made available on-demand or when relevant, rather than presenting all possible information simultaneously, reducing processing complexity while maintaining information completeness.
Data Source
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AI summary
Systems and methods for mix mode automated driving including accessing a profile associated with an automated driving trip, determining a list of driving operations for the automated driving trip, and determining at least one recommended driving operation included in the list of operations based on the profile, such that the at least one recommended driving operation includes a first driving operation designated to autonomous control and a second driving operation designated to manual control.