Autonomous Vehicle Access via Pedestrian Interest Detection

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current autonomous vehicle systems lack an efficient method for passengers without smartphones to hail or access shared mobility services, as they rely on app-based interactions and human gestures, which may not be inclusive or effective in all situations.

Innovation Solution

A system that uses sensors and geographic databases to monitor and predict pedestrian trajectories, calculating an interest index to automatically unlock and provide access to autonomous vehicles based on detected interest, eliminating the need for app-based services or gestures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If app-based taxi services are used, then service efficiency is improved, but accessibility for certain population segments deteriorates

Engineering Contradiction:
Improveservice efficiencyVSAvoidaccessibility
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The autonomous vehicle performs self-service by automatically detecting pedestrian interest through sensors, calculating interest index values, and providing access without requiring the pedestrian to use a smartphone app or make explicit requests. The vehicle autonomously completes the hailing and access provisioning functions.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical interaction system (smartphone apps, buttons, gestures requiring human initiation) with an automated sensor-based detection system that uses cameras and processors to identify pedestrian interest and trigger vehicle responses, eliminating the need for pedestrians to physically interact with any interface.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If traditional hailing gestures are used, then inclusivity is improved, but effectiveness in autonomous vehicle context deteriorates

Engineering Contradiction:
ImproveinclusivityVSAvoideffectiveness
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The system implements feedback by continuously monitoring pedestrian trajectories and calculating interest index values in real-time, allowing the vehicle to detect when a pedestrian is interested in hailing and to respond appropriately. The system provides feedback to determine when access should be granted based on the calculated interest level.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If automated sensor-based access is implemented, then accessibility is improved, but system complexity increases

Engineering Contradiction:
ImproveaccessibilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The autonomous vehicle's sensor system performs multiple functions: it monitors the environment for safety, detects pedestrian interest for hailing, and tracks trajectories for navigation. By making the sensor system universal and multi-functional, the patent avoids adding dedicated complex hardware solely for hailing detection.

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

Solution Approach 2:

The vehicle autonomously processes sensor data to calculate interest index values and determine when to provide access, eliminating the need for complex user interfaces or intermediary systems. The self-service approach simplifies the interaction model despite the automated processing involved.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12165415B2Providing access to an autonomous vehicle based on user's detected interest
Publication Date: 2024.12.10 HERE GLOBAL BV
  • US12165415B2 patent drawing
  • US12165415B2 patent drawing
  • US12165415B2 patent drawing

AI summary

System and methods are provided that allow users of shared vehicles to benefit from an enhanced user experience that seamlessly unlocks and/or provides access to features for autonomous vehicles by proactively computing an interest index based on detected contextual behavioral patterns of the pedestrians such as the trajectory a candidate passenger is walking given a locational context.