Autonomous Driving Control Transfer for Abnormal Vehicle States
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Solution Overview
Problem
Existing autonomous driving systems lack the ability to effectively transfer control authority based on dynamic driver states and vehicle conditions, leading to potential safety issues during abnormal driving situations such as lane departure, collision risks, and driver unresponsiveness.
Innovation Solution
An autonomous driving apparatus equipped with external cameras, radars, LiDAR, and controllers that assess image and sensor data to determine abnormal driving conditions, transferring control authority to a pre-registered remote controller when necessary, and returning control when conditions normalize.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous driving control is implemented without dynamic authority transfer, then the system structure remains simple, but safety and reliability deteriorate during abnormal driving situations
Solution Approach 1:
The control authority transfer mechanism dynamically adjusts the level of autonomy based on real-time driving conditions. The system transitions between autonomous mode and remote control mode according to abnormal situation detection, making the control structure adaptive rather than static. This resolves the contradiction by introducing dynamic flexibility that enhances safety without requiring permanently complex infrastructure.
Solution Approach 2:
A remote control server acts as an intermediary between the autonomous vehicle and human operators. When abnormal situations are detected, the system mediates control authority transfer to this intermediary, which then coordinates with remote operators. This mediator layer enhances safety during critical situations while keeping the everyday autonomous system relatively simple.
2Reliability
If control authority is transferred to remote controller during abnormal situations, then safety improves, but response time and system complexity increase
Solution Approach 1:
The system performs preliminary detection and assessment of abnormal situations using onboard sensors and image processing before control authority transfer becomes necessary. By continuously monitoring driving conditions and identifying potential issues early, the system prepares for possible authority transfer in advance, reducing the actual response time when transfer is needed.
Solution Approach 2:
The system implements continuous feedback loops where sensor data, image processing results, and driving state information are constantly monitored and fed back to the control system. This real-time feedback enables rapid detection of abnormal situations and quick initiation of control authority transfer, minimizing response time while maintaining safety.
3Measurement precision
If multiple sensors and processing units are added for abnormal situation detection, then detection precision improves, but device complexity increases
Solution Approach 1:
The system employs multi-functional sensors and processing units that serve multiple purposes. For example, the same image processing unit that performs lane recognition also detects abnormal driving situations, and sensors used for normal navigation also contribute to abnormal situation detection. This universal approach improves detection precision without proportionally increasing system complexity.
Solution Approach 2:
The system merges multiple detection functions into integrated processing modules. Rather than having separate dedicated systems for each type of detection, the patent combines image processing, sensor data analysis, and abnormal situation detection into unified processing units. This merging approach achieves high detection precision while controlling overall system complexity through consolidation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the reliability and stability of autonomous driving by promptly addressing abnormal driving situations, ensuring safety through dynamic control authority transfer and return mechanisms.
Implementation Method 1
an external camera having a field of view around a vehicle and configured to acquire image data
Implementation Method 2
a radar having a field of sensing around the vehicle and configured to acquire radar data
Implementation Method 3
a light detection and ranging (LiDAR) having a field of sensing around the vehicle to acquire LiDAR data
Data Source
AI summary
Disclosed herein is an autonomous driving apparatus including an external camera having a field of view around a vehicle and configured to acquire image data, a radar having a field of sensing around the vehicle and configured to acquire radar data, and a controller configured to determine whether a control authority transfer condition of the vehicle is satisfied based on at least one of the image data or the radar data during autonomous driving of the vehicle, wherein the controller determines whether the vehicle normally drives based on at least one of the image data or the radar data, determines that the control authority transfer condition is satisfied when the driving of the vehicle is in an abnormal state, and transfers a control authority to a pre-registered remote controller when the control authority transfer condition is satisfied.