Locality-Adaptive Autonomous Driving Policy Generation

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Solution Overview

Problem

Current computerized assisted or autonomous driving systems are not adaptable to local driving practices in emerging or underdeveloped economies, leading to potential chaos and safety issues due to differences in traffic laws and driver behaviors compared to developed economies.

Innovation Solution

A method and apparatus for generating and applying locality-specific policies for computerized assisted or autonomous driving systems, which include pedestrian, proxemic, and aggression policies based on data collected from various locations, allowing vehicles to adapt their behavior to local norms such as stop sign protocols, intersection maneuvers, and crime statistics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If computerized assisted or autonomous driving systems follow standard conservative US driving practices, then safety and reliability are improved in developed markets, but adaptability deteriorates in emerging or underdeveloped economy markets

Engineering Contradiction:
ImprovesafetyVSAvoidadaptability to local driving practices
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system dynamically adapts its driving behavior by switching between different policy sets based on the detected locality. The computerized assisted or autonomous driving system adjusts its control parameters and decision-making strategies in real-time according to the specific driving environment, whether in developed markets with strict traffic law adherence or emerging markets with more flexible driving norms.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements locality-specific policies that tailor driving behavior to particular geographic regions. Different policy configurations are applied based on the detected locality characteristics, such as traffic density, road conditions, and local driving culture, allowing the system to optimize safety and effectiveness for each specific environment rather than using a uniform approach.

Inventive Principle:
Principle #3Local quality

2Reliability

If computerized assisted or autonomous driving systems are designed with risk averse driving style, then reliability is improved, but ease of operation deteriorates in markets with different driving norms

Engineering Contradiction:
Improverisk aversionVSAvoidintegration into local traffic flow
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system changes its operational parameters including acceleration rates, braking forces, following distances, and intersection negotiation strategies based on the detected locality. In emerging markets, the system adjusts parameters to be less conservative and more aligned with local driving expectations, improving ease of operation while maintaining acceptable safety levels.

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If a single standardized driving policy is used across all regions, then device complexity is reduced, but adaptability to different localities deteriorates

Engineering Contradiction:
Improvepolicy uniformityVSAvoidlocality specific adaptation
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent segments the driving policy into multiple locality-specific policy sets, each optimized for particular regions or driving environments. The system divides the overall control strategy into modular policy components that can be selectively activated based on the detected locality, managing complexity through structured organization rather than monolithic design.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system implements a universal framework that can accommodate multiple locality-specific policies. The underlying architecture is designed to be multi-functional, capable of executing different policy sets for different regions while maintaining a consistent interface and control structure, thus achieving adaptability without proportionally increasing complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS9134731B2Locality adapted computerized assisted or autonomous driving of vehicles
Publication Date: 2015.09.15 TAHOE RES LTD
  • US9134731B2 patent drawing
  • US9134731B2 patent drawing
  • US9134731B2 patent drawing

AI summary

Apparatuses, methods and storage medium associated with computerized assist or autonomous driving of vehicles are disclosed herein. In embodiments, a method may include receiving, by a computing device, a plurality of data associated with vehicles driving at various locations within a locality; and generating, by the computing device, one or more locality specific policies for computerized assisted or autonomous driving of vehicles at the locality, based at least in part on the data associated with vehicles driving at various locations within the locality. Other embodiments may be described and claimed.