Autonomous Vehicle Control Strategy for Aggressive Driver Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous vehicles face challenges in detecting aggressive driving behaviors of nearby vehicles and adjusting their control strategies accordingly to ensure safe navigation.
Innovation Solution
A method and system that utilize sensors like cameras, RADAR, and LIDAR to identify aggressive driving behaviors, determine the type of vehicle, and estimate distances, allowing for the modification of control strategies to adapt the autonomous vehicle's behavior and maintain safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle uses standard control strategies, then the system operation is simple, but the safety is compromised when encountering aggressive drivers
Solution Approach 1:
The control strategy dynamically adapts based on detected driving behaviors. The system transitions from standard control to modified control strategies (defensive, evasive, or confrontational) depending on the presence and behavior of nearby vehicles, making the safety response dynamic rather than static
Solution Approach 2:
The system changes control parameters (spacing, speed, lane position) based on the detected aggressive behavior. By modifying these operational parameters in response to external threats, the system achieves enhanced safety without requiring a completely new control architecture
2Reliability
If the autonomous vehicle maintains large spacing from other vehicles, then the safety is improved, but the productivity decreases due to slower navigation
Solution Approach 1:
The spacing between vehicles is dynamically adjusted based on the behavior of nearby vehicles. The system maintains normal spacing when safe, but increases spacing only when aggressive driving behaviors are detected, allowing productivity to be maintained during normal operation while ensuring safety when needed
Solution Approach 2:
The system changes the spacing parameter conditionally based on external factors (detected driving behaviors). This allows the vehicle to optimize the trade-off between safety and productivity by adjusting spacing only when necessary rather than maintaining conservative spacing at all times
3Reliability
If the autonomous vehicle uses modified control strategies to respond to aggressive drivers, then the safety is enhanced, but the device complexity increases
Solution Approach 1:
The control system is segmented into multiple independent modules: detection module (sensors), analysis module (behavior classification), and control module (strategy selection). This segmentation allows the complex safety functionality to be implemented as modular additions to the existing system rather than a complete redesign
Solution Approach 2:
The system introduces an intermediary layer (the behavior detection and analysis system) between the standard control strategy and the actual vehicle control. This intermediary processes sensor data and determines when modified control strategies are needed, managing the complexity through a dedicated intermediate processing layer
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A computing device may be configured to receive sensor information indicative of respective characteristics of vehicles on a road of travel of a first vehicle. The computing device may be configured to identify, based on the respective characteristics, a second vehicle that exhibits an aggressive driving behavior manifested as an unsafe or unlawful driving action. Also, based on the respective characteristics, the computing device may be configured to determine a type of the second vehicle. The computing device may be configured to estimate a distance between the first vehicle and the second vehicle. The computing device may be configured to modify a control strategy of tire first vehicle, based on the aggressive driving behavior of the second vehicle, the type of the second vehicle, and the distance between the first vehicle and the second vehicle; and control the first vehicle based on the modified control strategy.