Vehicle Braking Threshold Control for Time-to-Collision Avoidance
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating due to the vast amounts of data they need to process, store, and interpret, including visual information, GPS data, sensor data, and traditional mapping data, which can limit their navigation capabilities.
Innovation Solution
The use of cameras to provide autonomous vehicle navigation features, including systems that determine target dynamics of other vehicles, calculate time to collision, and determine deceleration thresholds to avoid collisions, all based on sensor data and image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional mapping technology and vast data processing are used for autonomous navigation, then navigation capability is improved, but data storage and processing requirements increase significantly
Solution Approach 1:
The patent extracts and removes the need for traditional mapping data and vast sensor data processing from the autonomous navigation system. By using camera-based navigation that does not rely on pre-stored maps or extensive data analysis, the system eliminates the requirement for large data storage capacities while maintaining navigation functionality.
Solution Approach 2:
The patent uses visual copying through camera imaging to navigate, where the camera captures visual information of the environment and the system navigates by recognizing visual patterns and features directly from images, rather than processing vast amounts of structured data from multiple sensors.
2Measurement precision
If vast volumes of sensor data and map data are processed, then navigation accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent extracts the time-consuming data processing step from the navigation system by eliminating the need to process vast volumes of sensor data and map data. The camera-based system achieves navigation by directly interpreting visual information from images, significantly reducing computational time while maintaining accuracy.
Solution Approach 2:
The patent replaces the mechanical/computational system of processing vast data volumes with an optical system using cameras. The navigation is achieved through visual pattern recognition and image analysis rather than complex data processing, substituting computational complexity with optical information processing.
3Reliability
If multiple sensors and data sources are used for collision avoidance, then safety is improved, but system complexity increases
Solution Approach 1:
The patent merges the functions of multiple sensors and data processing systems into a single camera-based navigation system. By combining navigation and collision avoidance capabilities into one integrated camera system, the patent reduces overall system complexity while maintaining safety through visual monitoring of the environment.
Solution Approach 2:
The patent makes the camera system universal by enabling it to perform multiple functions: navigation, obstacle detection, and collision avoidance. This single multi-functional system replaces what would traditionally require multiple specialized sensors and processing units, thereby reducing system complexity.
Data Source
AI summary
Systems and methods are provided for vehicle navigation. In one implementation, a system for a host vehicle includes at least one processor programmed to determine, based on an output of at least one sensor of the host vehicle, one or more target dynamics of a target vehicle; determine, based on one or more host dynamics of the host vehicle and the target dynamics, a time to collision; determine, based on the time to collision and the host dynamics, a host deceleration for the host vehicle to avoid the collision; determine, based on the time to collision and the target dynamics, a target deceleration for the target vehicle to avoid the collision; determine, based on the host deceleration and the target deceleration, a host deceleration threshold; and determine, based on a speed of the host vehicle and the host deceleration threshold, to brake the host vehicle.