Co-pilot System for Safe Human-Autonomous Drive Transitions
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Solution Overview
Problem
The transition between human drive control and autonomous drive control in vehicles is not efficiently managed, leading to potential safety issues due to inadequate monitoring of driver alertness and autonomous system capability.
Innovation Solution
A vehicle co-pilot system that monitors drive states and transitions between human and autonomous control using predetermined time thresholds, employing a human-machine interface to inform drivers of system states and capabilities through visual, audio, and haptic feedback, and initiating emergency exit strategies when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous drive control is implemented, then driving automation is improved, but transition safety between human and autonomous control deteriorates
Solution Approach 1:
The system performs preliminary actions by continuously monitoring driver alertness and autonomous system capability before transitions occur. The co-pilot system assesses both the driver's readiness and the autonomous system's capability in advance, ensuring that transitions only happen when both parties are ready, thereby preventing unsafe handovers.
Solution Approach 2:
The system implements continuous feedback loops where the co-pilot monitor receives real-time data from both the driver status monitor and autonomous drive module. This feedback mechanism allows the system to dynamically adjust transition timing based on current driver alertness levels and autonomous system performance, ensuring safe transitions.
2Reliability
If driver monitoring is enhanced, then transition safety is improved, but system complexity increases
Solution Approach 1:
The co-pilot system serves multiple functions simultaneously: it monitors driver alertness, assesses autonomous system capability, determines transition timing, and provides user notifications. By consolidating these functions into a single multi-functional module, the system improves transition safety without proportionally increasing overall system complexity.
Solution Approach 2:
The co-pilot system acts as an intermediary between the driver status monitor and the autonomous drive module. Rather than requiring direct complex interactions between these components, the co-pilot mediator simplifies the interface by centralizing the decision-making logic for transitions, thereby reducing overall system complexity while maintaining safety.
3Productivity
If transition timing is optimized, then productivity is improved, but safety risks increase
Solution Approach 1:
The system performs preliminary assessments of both driver alertness and autonomous system capability before initiating transitions. By evaluating readiness conditions in advance and only proceeding when both are satisfied, the system achieves efficient transitions without compromising safety.
Solution Approach 2:
Continuous real-time feedback from driver monitoring sensors and autonomous system performance data allows the co-pilot to dynamically optimize transition timing. This feedback ensures that transitions occur at the most efficient safe moments, balancing productivity with safety requirements.
Data Source
AI summary
A system for monitoring vehicle drive states and transitioning between human drive control and autonomous drive control based on the vehicle drive states. The system includes a human/autonomous drive status and transition module. The module is configured to: receive data from an autonomous drive module and determine a drive state of the autonomous drive module based on the data received from the autonomous drive module; receive data from a driver status monitor (DSM) to determine a drive state of a human driver; and transition between human drive control and autonomous drive control by the autonomous drive module, and vice-versa, based on the determined drive states of the human driver and the autonomous drive module.