Autonomous Vehicle Stop Point Selection Using Multi-Source Sensor Data
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Solution Overview
Problem
Autonomous vehicles face challenges in efficiently locating and selecting safe, legal, and suitable stop points for parking, pick-up, or drop-off without relying on proximity sensors, which can lead to wasted time searching for these points.
Innovation Solution
A vehicle system utilizing a server with sensor data from various sources, including the vehicle's own sensors, other vehicles, satellite maps, and road sensors, to determine and select stop points based on criteria such as legality, safety, proximity to the destination, and ease of entry, while also considering reservations and road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the vehicle uses only its own sensors to locate stop points, then the vehicle can detect stop points, but it cannot locate stop points unless the vehicle is within close proximity to them
Solution Approach 1:
The system performs preliminary actions by obtaining sensor data from multiple sources (other vehicles, satellites, road sensors) before the vehicle arrives at the destination, allowing it to identify and select stop points in advance rather than searching when close to the destination
Solution Approach 2:
The system uses intermediary data sources such as other vehicles' sensors, satellite imagery, and road sensors to provide stop point information to the vehicle, eliminating the need for the vehicle to be in close proximity to detect stop points
2Reliability
If the vehicle searches for stop points only after arriving at the destination, then the vehicle can ensure safe and legal stop points, but the vehicle spends excessive time searching for parking spots
Solution Approach 1:
The system evaluates multiple potential stop points against safety and legality criteria before the vehicle reaches the destination, selecting the most suitable stop point in advance to ensure reliability while improving navigation efficiency
Solution Approach 2:
The system uses feedback from multiple sensor sources and evaluation criteria to continuously assess stop point suitability, allowing the vehicle to make informed decisions about stop point selection while maintaining safety and legality requirements
3Productivity
If the vehicle selects stop points without considering multiple criteria, then the vehicle can quickly select a stop point, but the selected stop point may not be safe, legal, or suitable
Solution Approach 1:
The system implements feedback mechanisms that evaluate stop points against multiple criteria (safety, legality, suitability) and use this information to guide the selection process, ensuring that the selected stop point meets all requirements while maintaining efficient decision-making
Solution Approach 2:
The system changes the parameters used for stop point evaluation by considering multiple criteria simultaneously (safety, legality, proximity to destination, ease of entry) rather than relying on a single parameter, thereby improving the quality of selection without significantly increasing time
Data Source
AI summary
Provided herein is a system and method for a vehicle system on a vehicle. The system comprises a server comprising sensor data of stop points, one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to perform: determining, from the stop points, one or more available stop points; selecting, from the one or more available stop points, a stop point based on a criteria; and stopping the vehicle at the selected stop point.