Autonomous Vehicle Navigation Using Stopping-Distance Safe Gaps
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Solution Overview
Problem
Current autonomous vehicle navigation systems face challenges in safely and efficiently navigating roadways while adhering to liability constraints and ensuring scalability for widespread adoption.
Innovation Solution
The system utilizes cameras to monitor the environment and process images to determine navigational actions, taking into account GPS data, sensor data, and map data, while implementing driving policies to manage interactions with other vehicles and pedestrians.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system calculates stopping distances for both host and target vehicles to determine safe navigation actions, then safety assurance is improved, but computational complexity and processing time increase
Solution Approach 1:
The system pre-calculates and stores braking rate and maximum acceleration capability parameters for multiple vehicle types in a database. During real-time operation, the processing device retrieves these pre-stored parameters rather than calculating them from scratch, significantly reducing computational complexity while maintaining accurate stopping distance calculations for both host and target vehicles
Solution Approach 2:
The system uses the host vehicle's own stored braking rate and acceleration parameters when calculating the stopping distance of the target vehicle, eliminating the need for separate target vehicle parameter databases. The host vehicle's capabilities serve dual purposes for both self-navigation and target vehicle analysis
2Measurement precision
If the system uses multiple sensors and cameras to capture real-time environmental data, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The processing device serves multiple functions: it processes images from cameras, data from radar and lidar, GPS coordinates, speed sensor readings, and accelerometer data all through a single integrated system. This multi-functional approach consolidates what would otherwise require separate processing systems, reducing overall device complexity while maintaining high measurement precision across all sensor inputs
3Reliability
If the system implements comprehensive safety checks including stopping distance calculations for both vehicles, then reliability is improved, but navigation speed and efficiency decrease
Solution Approach 1:
Braking rate and maximum acceleration capability parameters are pre-calculated and stored in a database before real-time operation. During navigation, the system retrieves these pre-stored values instantly rather than performing complex calculations, enabling rapid safety verification that does not compromise navigation speed or efficiency
Solution Approach 2:
The system replaces complex real-time physical calculations with pre-computed parameter lookups from a database. This substitution of computational mechanics allows comprehensive safety checks including stopping distance calculations for both vehicles to be performed rapidly without bottlenecking navigation efficiency
Data Source
AI summary
Systems and methods are disclosed for navigating a host vehicle. In one implementation, at least one processing device may be programmed to receive an image representative of an environment of the host vehicle, determine a planned navigational action for the host vehicle, analyze the image to identify a target vehicle with a direction of travel toward the host vehicle, and determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken. The at least one processing device may further determine a stopping distance for the host vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the host vehicle, determine a stopping distance for the target vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the target vehicle, and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.