Autonomous Pickup Rendezvous Using User Readiness Confidence
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Solution Overview
Problem
The existing ride-hailing processes are overly complicated, requiring extensive user input and often involve additional interactions between users and operators to coordinate pickups, which can be inefficient due to factors like traffic and navigation challenges.
Innovation Solution
A mobile ecosystem with autonomous vehicle control systems that communicate with user devices to streamline the hailing process by automatically determining user readiness and identifying optimal pickup locations and trajectories based on user and vehicle information, using a cost function to estimate confidence levels for pickup readiness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing ride-share application technology is used, then pickup coordination can be achieved, but the process becomes overly complicated requiring extensive user input and additional interactions
Solution Approach 1:
The system automatically determines user pickup readiness by analyzing user information from the user device without requiring manual user input. The autonomous control system independently identifies optimal pickup locations and coordinates with the vehicle, enabling the system to serve itself rather than requiring continuous user intervention.
Solution Approach 2:
The system performs preliminary determination of user pickup readiness before the actual pickup event. By analyzing user information in advance and identifying optimal pickup locations beforehand, the system prepares the pickup coordination proactively, reducing the need for last-minute user input and interactions.
2Reliability
If manual coordination between user and operator is implemented, then pickup details can be communicated, but additional text or call interactions are required
Solution Approach 1:
The system continuously monitors user information from the user device and provides feedback to the autonomous control system. This automated feedback loop enables real-time coordination between the user and vehicle without requiring manual text or call interactions, maintaining reliability while eliminating communication delays.
Solution Approach 2:
The patent replaces manual mechanical communication (texts and calls) with an automated electronic information exchange system. The user device automatically transmits readiness information to the autonomous control system, which processes and acts on this data without human intervention, substituting the mechanical communication process with an automated electronic system.
3Adaptability or versatility
If user manually determines pickup timing and location, then pickup preferences can be specified, but traffic conditions and navigation roadblocks must be manually considered
Solution Approach 1:
The autonomous control system independently analyzes traffic conditions and navigation roadblocks to determine optimal pickup locations and timing. Rather than requiring the user to manually consider these factors, the system performs this analysis automatically and selects the best pickup parameters, maintaining flexibility while simplifying user interaction.
Solution Approach 2:
The system performs preliminary analysis of traffic conditions and navigation roadblocks before finalizing pickup parameters. By evaluating these factors in advance and identifying optimal pickup locations beforehand, the system prepares adaptive pickup plans proactively, reducing the need for manual user consideration of complex navigation factors.
4Ease of operation
If autonomous control system determines pickup readiness automatically, then user input is reduced, but system complexity increases
Solution Approach 1:
The autonomous control system integrates multiple functions into a single unified system: it receives and processes user information, determines pickup readiness, identifies optimal pickup locations, and coordinates with the vehicle. This multi-functional integration reduces the need for separate user actions while consolidating system complexity into a coordinated automated process.
Data Source
AI summary
Based on a cost function that estimates a value of a confidence level above a confidence threshold using user information, an autonomous control system can determine that a user of a user device is ready for a pickup, identify a pickup location based on the user information, and determine a trajectory from a current location to the pickup location. A propulsion system is configured to cause motion current location toward the pickup location according to the trajectory.