Vehicle Path Control for User-Traced Pickup and Drop-Off Routes
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Solution Overview
Problem
Autonomous vehicles face challenges in identifying and navigating to specific destinations due to difficulties in determining suitable pickup or drop-off locations and routes, often failing to utilize map data effectively.
Innovation Solution
A system that receives user-input routes, adjusts them based on vehicle sensor data, time of day, and metadata such as direction, time range, and vehicle type, and outputs an adjusted travel route, ensuring navigability and feasibility while smoothing the route for navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the computer uses map data and user input to identify a route to a destination, then the navigation system can provide route guidance, but the computer may fail to identify a suitable route or drop off/pick up location due to inability to effectively utilize map data
Solution Approach 1:
The system segments the route determination process into multiple components: receiving user input route, obtaining map data for the area, determining vehicle travel route based on both inputs, and adjusting the route. This segmentation allows each component to be optimized independently, improving overall route identification accuracy while maintaining reliability.
Solution Approach 2:
The system implements feedback by comparing the vehicle travel route with the user input route and adjusting the route accordingly. The computer continuously monitors whether the vehicle is following the planned route and makes real-time adjustments, ensuring both accuracy and reliability in route determination.
2Adaptability or versatility
If the computer adjusts the travel route based on vehicle sensor data, destination, and time of day, then the route becomes more feasible and optimized, but the system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-obtaining map data for the area before determining the vehicle travel route. This allows the system to have all necessary information available upfront, enabling flexible route adjustments based on vehicle sensor data, destination, and time of day without requiring complex real-time processing.
Solution Approach 2:
The system implements dynamic route adjustment by continuously monitoring vehicle sensor data and adjusting the travel route in real-time. The route is not static but adapts to current conditions, vehicle position, and destination requirements, improving adaptability while managing complexity through incremental adjustments.
3Measurement precision
If the system integrates user input, sensor data, and metadata to determine optimized routes, then navigation accuracy improves, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-obtaining and storing map data for the area before route calculation. This preparation reduces the computational load during actual route determination, allowing the system to integrate user input, sensor data, and metadata more efficiently without excessive processing time.
Solution Approach 2:
The system applies partial action by adjusting only the necessary portions of the route based on vehicle sensor data and destination requirements, rather than recalculating the entire route from scratch. This selective adjustment reduces computational time while maintaining destination location accuracy.
Data Source
AI summary
A system includes a computer that includes a processor and a memory. The memory stores instructions executable by the processor to receive an input route from a user device, wherein the input route is determined by user input tracing the input route on a display of a map on the user device, to specify a travel route for a vehicle, including a direction of movement of the vehicle, based on the input route received from the user device, and upon determining that the vehicle specified travel route is within a specified distance of the input route, to adjust the travel route based on vehicle sensor data, a destination of the input route, and a time of day, thereby outputting an adjusted travel route.