Autonomous Vehicle Pick-Up Location Accuracy Using UWB and Mobile Sensors
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Solution Overview
Problem
Autonomous vehicles face challenges in accurately determining the pick-up location of riders due to limitations in the accuracy of mobile device location, especially in urban environments with GNSS signal obstructions, leading to potential safety issues for riders, particularly those with disabilities.
Innovation Solution
The system combines AV map data with sensor data from a rider's mobile device, such as angle measurements from a compass, to determine the side of the street the rider is on, and uses RF sensing technologies like Ultra Wide Band (UWB) to pinpoint the rider's location and guide them to the waiting AV.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile device location data is used to determine pick-up location, then the system is simple to operate, but the measurement precision deteriorates due to GNSS signal obstructions in urban environments
Solution Approach 1:
The patent combines multiple location determination methods (GNSS mobile device location, AV-based RF sensing, and map data) into a unified system. The server integrates data from the rider's mobile device and the AV's sensors to determine the most accurate pick-up location, resolving the contradiction by merging simple operation with precise measurement through multi-source data fusion
Solution Approach 2:
The server acts as an intermediary that processes and integrates location data from multiple sources. It receives GNSS data from the mobile device and RF sensing data from the AV, then combines these inputs to determine the final pick-up location, enabling both ease of operation and measurement precision through intermediate data processing
2Device complexity
If the AV waits at the requested location based on low-precision location data, then the routing is simple, but safety deteriorates due to potential incorrect positioning in urban canyons
Solution Approach 1:
The system performs preliminary location verification by combining map data with real-time sensor data before the AV arrives at the pick-up location. The server determines the correct side of the street and verifies the location against map information in advance, ensuring safety before the AV executes the routing decision
Solution Approach 2:
The system uses feedback from multiple data sources (mobile device location, AV sensor data, and map data) to continuously verify and adjust the pick-up location. The server processes this feedback information to confirm the correct positioning, enhancing safety through iterative verification while maintaining routing simplicity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of passenger pick-up by allowing the AV to navigate to the correct side of the street and provides clear instructions to the rider, improving safety and accessibility, especially for riders with disabilities.
Implementation Method 1
The sensor system includes a radio frequency (RF) sensing system including an ultra wide band (UWB) sensor
Data Source
AI summary
The disclosed technology provides solutions for providing an accurate pick-up location for an autonomous vehicle and a rider during a ride hailing pick-up. A method of the disclosed technology can include steps for determining map information associated with at least one thoroughfare for routing an autonomous vehicle, wherein the map information is based on location data associated with a client device requesting the autonomous vehicle; receiving sensor data from the client device corresponding to the at least one thoroughfare; determining, based on the sensor data and the map information, a first position of the client device relative to the at least one thoroughfare; and routing the autonomous vehicle based on the first position of the client device relative to the at least one thoroughfare. Systems and machine-readable media are also provided.