Low-Speed Vehicle Control With Obstacle Buffer Override
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current autonomous vehicle navigation systems face challenges in ensuring safety and scalability, particularly in adhering to liability rules and navigating complex road scenarios while maintaining efficiency and accuracy.
Innovation Solution
The development of a system that integrates multiple image capture devices and processing units to analyze visual information, sensor data, and map data, enabling autonomous vehicles to navigate safely and efficiently while considering liability constraints and complex road scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle system processes and interprets multiple types of data (visual information, radar, lidar, GPS, speed sensor, accelerometer, suspension sensor) to ensure safe and accurate navigation, then the navigation safety and accuracy are improved, but the system complexity and computational load increase
Solution Approach 1:
The patent segments the autonomous vehicle system into distinct functional modules: navigation system (110), sensor system (120), and controller (130). Each module has specific responsibilities - the navigation system processes map and location data, the sensor system captures environmental data, and the controller integrates information and executes control commands. This segmentation allows complex multi-source data processing to be divided into manageable, specialized components that can be developed, tested, and maintained independently while ensuring comprehensive safety through coordinated operation.
2Reliability
If the autonomous vehicle system adheres to liability rules and navigates complex road scenarios with multiple constraints, then the legal compliance and safety assurance are improved, but the decision-making complexity and processing time increase
Solution Approach 1:
The patent implements preliminary action through pre-stored map data (160) containing navigation information, road constraints, and liability rules. The navigation system (110) pre-processes this information to generate anticipated navigation commands before complex scenarios arise. When the vehicle encounters road scenarios with constraints, the controller (130) can quickly match current sensor data against pre-analyzed situations and execute predetermined safe responses, reducing real-time decision-making time while maintaining compliance with liability rules and safety requirements.
3Measurement precision
If the autonomous vehicle system uses multiple image capture devices and processing units to analyze visual information in real-time, then the detection accuracy and navigation precision are improved, but the energy consumption and computational requirements increase
Solution Approach 1:
The patent merges multiple image capture devices (122, 124, 126) into a unified navigation system (110) that processes visual information collectively. Rather than having each device operate independently with separate processing chains, the combined system integrates data from all devices through a single processing pipeline managed by the controller (130). This merging reduces redundant computational operations, lowers overall energy consumption compared to multiple independent systems, while maintaining high detection accuracy through the combined input from multiple sensors.
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
An autonomous system may selectively displace human driver control of a host vehicle. The system may receive an image representative of an environment of the host vehicle and detect an obstacle in the environment of the host vehicle based on analysis of the image. The system may monitor a driver input to a throttle, brake, and/or steering control associated with the host vehicle. The system may determine whether the driver input would result in the host vehicle navigating within a proximity buffer relative to the obstacle. If the driver input would not result in the host vehicle navigating within the proximity buffer, the system may allow the driver input to cause a corresponding change in one or more host vehicle motion control systems. If the driver input would result in the host vehicle navigating within the proximity buffer, the system may prevent the driver input from causing the corresponding change.