Autonomous Driving State Switching for Seamless Driver Intervention
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Solution Overview
Problem
Existing autonomous driving vehicle systems burden drivers with frequent state switching when temporarily intervening in autonomous driving mode, as they need to manually adjust settings between autonomous, partial, and non-autonomous driving modes, leading to driver fatigue and inconvenience.
Innovation Solution
An autonomous driving vehicle system that includes a peripheral information detection unit, a traveling plan generation unit, and a driving state switching unit, which dynamically switches between autonomous, cooperative, and manual driving states based on operation amounts and duration counts, allowing for seamless transitions and reduced driver intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the driver manually switches between autonomous, partial, and non-autonomous driving modes using a switch, then the driver can control the driving mode, but the driver feels burdened due to frequent manual intervention
Solution Approach 1:
The driving state switching unit automatically switches between autonomous, partial, and manual driving modes based on detected driver operations (steering angle, accelerator/brake usage), eliminating the need for manual switch operation by the driver
Solution Approach 2:
The system continuously monitors driver operations through detection units and uses this feedback to automatically adjust driving modes, creating a closed-loop control system that responds to driver intent without requiring explicit mode switching
2Reliability
If the system requires driver intervention to switch modes, then the driver maintains control, but the frequent switching increases driver fatigue
Solution Approach 1:
The system proactively transitions to partial autonomous driving mode when it detects driver operations approaching threshold values, preventing the need for reactive manual switching and reducing driver fatigue through anticipatory automation
3Extent of automation
If the system uses threshold-based switching, then the transitions are automatic, but the thresholds may not accurately reflect driver intent
Solution Approach 1:
The system combines multiple driver operation parameters (steering angle, accelerator depression, brake usage) into a comprehensive assessment of driver intent, improving the accuracy of automatic mode transitions beyond single-parameter threshold switching
Data Source
AI summary
A system includes an acquisition unit that acquires an operation amount or a duration count, and a switching unit that switches a driving state. The switching unit switches the driving state to the cooperative driving state when the operation amount is equal to or greater than an intervention threshold and less than a start threshold or the duration count is equal to or greater than a first threshold and less than a second threshold during the autonomous driving state, switches the driving state to the autonomous driving state when the operation amount is less than the intervention threshold or the duration count is less than the first threshold during the cooperative driving state, and switches the driving state to the manual driving state when the operation amount is equal to or greater than the start threshold or the duration count is equal to or greater than the second threshold.