Flash LIDAR Point Cloud Generation for Vehicle Data Sharing
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Solution Overview
Problem
Current vehicle systems lack the capability to efficiently capture and share detailed environmental data from sensors for various applications, including obstacle detection and image generation, especially in real-time and across different environments.
Innovation Solution
A vehicle image system that includes a computing device, non-transitory memory, and sensors, such as high-resolution flash LIDAR, to capture and store data, and transmit commands to remote devices for generating two-dimensional or three-dimensional images or objects, enabling data sharing and 3D printing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution flash LIDAR is used to capture detailed environmental data, then measurement precision and data quality are improved, but device complexity and cost increase
Solution Approach 1:
The vehicle system integrates multiple sensor types (LIDAR, cameras, microphones) into a unified sensor system that serves multiple functions: obstacle detection, environmental mapping, data sharing, and 3D printing. The computing device processes data from all sensors through a common pipeline, allowing the system to perform various tasks without requiring separate dedicated systems for each function.
2Reliability
If sensor data is stored in non-transitory memory for later use, then data availability and reliability are improved, but storage capacity requirements and device complexity increase
Solution Approach 1:
The system pre-stores sensor data in non-transitory memory during the data capture phase, preparing it in advance for potential future uses such as obstacle detection, social media sharing, 3D printing, or virtual reality applications. This preliminary storage ensures data is immediately available when needed without requiring real-time recapture, improving reliability for time-sensitive operations.
3Adaptability or versatility
If data is transmitted to remote devices for generating 2D images or 3D objects, then application versatility is improved, but communication bandwidth requirements and energy consumption increase
Solution Approach 1:
The system extracts and transmits only the essential sensor data and point cloud information to remote devices, separating the core geometric and spatial data from auxiliary information. This extraction allows remote devices to generate 2D images and 3D objects without requiring transmission of all raw sensor data, reducing communication bandwidth requirements and energy consumption while maintaining application versatility.
4Ease of manufacture
If point cloud data is generated from sensor data for 3D printing, then manufacturing capability is improved, but data processing time and computational requirements increase
Solution Approach 1:
The system generates point cloud data from sensor data in advance, during the data capture phase, rather than processing it in real-time when needed for 3D printing. This preliminary conversion of sensor data to point cloud format prepares the data structure required for 3D printing ahead of time, reducing the processing delay when manufacturing operations are initiated and improving overall manufacturing readiness.
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
Enables real-time data capture and sharing of detailed environmental data for applications like obstacle detection, social media sharing, 3D printing, and virtual reality, providing accurate and versatile use of sensor data across different environments.
Implementation Method 1
The one or more sensors include a high-resolution flash light detection and ranging laser scanner
Data Source
AI summary
A method of operating a vehicle image system supported by a vehicle is provided. The method includes receiving data from one or more sensors supported by the vehicle. The one or more sensors capture sensor data of objects in the surrounding environment of the vehicle. The method also includes receiving a storage indication from a user input device. The storage indication is indicative of storing the data from the one or more sensors in the non-transitory memory. The method also includes storing the data after receiving the storage indication and transmitting a command to one or more remote devices causing the one or more remote devices to generate a two-dimensional image or a three-dimensional object based on the received data.