Crosswalk Navigation Using Pedestrian Proximity and Traffic Light State
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Solution Overview
Problem
Current autonomous vehicle navigation systems face challenges in ensuring safety and scalability, as they need to process various environmental data sources and adhere to liability constraints while maintaining safety assurance and cost-effectiveness for widespread adoption.
Innovation Solution
The system employs cameras to analyze images and combine them with GPS and sensor data to determine navigational actions, such as braking and acceleration rates, ensuring safe distances and adherence to traffic rules, using processing devices to implement planned actions based on driving policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicle systems process multiple environmental data sources (cameras, GPS, sensors) to ensure safety, then safety assurance is improved, but device complexity and cost increase
Solution Approach 1:
The patent combines multiple data sources (cameras, GPS, sensors) into a unified navigation system that processes all inputs through a single decision-making framework. This merging approach maintains comprehensive safety monitoring while reducing overall system complexity by integrating functions rather than operating separate systems.
Solution Approach 2:
The navigation system is designed to handle multiple functions simultaneously: environmental perception, hazard detection, navigation decision-making, and constraint adherence. This multi-functional design consolidates what could be separate complex systems into a single versatile platform, improving safety assurance without proportionally increasing complexity.
2Reliability
If autonomous vehicle systems implement comprehensive safety checks and liability rule adherence, then reliability is improved, but productivity and scalability are reduced
Solution Approach 1:
The system uses parameter-based driving policies that can be adjusted without redesigning the entire system. By changing parameters within the existing framework rather than modifying the fundamental architecture, the system maintains high safety standards while enabling scalable deployment across different vehicle models and operating conditions.
Solution Approach 2:
The navigation system is divided into modular components: environmental sensing, hazard detection, policy-based decision-making, and execution. This segmentation allows each module to be independently optimized and validated, improving reliability through systematic verification while enabling scalable deployment by allowing incremental implementation and testing.
3Reliability
If autonomous vehicles calculate stopping distances and maintain safe distances from target vehicles, then safety is improved, but navigation speed and efficiency are reduced
Solution Approach 1:
The system pre-calculates stopping distances and safe following distances based on current vehicle parameters (braking rate, acceleration capability, speed) before critical situations arise. This preliminary calculation allows the vehicle to maintain optimal safety margins without real-time computational delays, improving both safety and navigation speed.
Solution Approach 2:
The patent replaces complex real-time mechanical braking calculations with a policy-based decision framework that uses pre-determined safety margins and simplified distance calculations. This substitution reduces computational complexity and processing time while maintaining safety standards, enabling faster navigation responses.
Data Source
AI summary
Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image of an environment of the host vehicle; detect, based on analysis of the image, a pedestrian crosswalk in the image; detect a presence of a traffic light and determine whether the traffic light is relevant to the host vehicle and the pedestrian crosswalk; determine a state of the traffic light; determine, when a pedestrian appears in the image, a proximity of the pedestrian relative to the pedestrian crosswalk; determine a planned navigational action for navigating the host vehicle relative to the pedestrian crosswalk based on a driving policy, the state of the traffic light and the proximity of the pedestrian relative to the pedestrian crosswalk; and cause one or more actuator systems of the host vehicle to implement the planned navigational action.