🚧This part of training platform is under ⚠️construction⚠️ and may not be shared or published! 🚧
AI Logistic Awareness System (AILAS) Street View image collection Field Experiments#
This documentation aims to consolidate all information regarding the Street View image collection field experiments for AILAS. It focuses on the process of collecting Street View images and is intended for use by participants in the experiments as a practical guideline.
Experiment Goal
One of the key components of AILAS is the ongoing collection of street view images in the field. This experiment aims to gather experience in collecting such images in Madagascar and to obtain feedback on the usability of the cameras and the web upload process. Additionally, a secondary objective is to capture street view images in Madagascar for future use in AILAS once it becomes operational.
AILAS Vison#
The AI Logistic Awareness System (AILAS) is a proposed system that enables users to view real-time road passability through a browser-based Geographic Information System (GIS). This will be accomplished by integrating current rainfall data and weather forecasts with information about the roads gathered from street view images.
Goal of Field Experiments#
Getting Started#
Overview of the Process#
What the entire process will look like (from camera installation to data upload).
Key Terms and Definitions#
A glossary of terms used throughout the project (e.g., “Street-Level Images”, “Panoramax Server”, etc.).
Field Setup and Operations#
GoPro Installation#
Step-by-step guide with images and possibly video tutorials showing how to install and set up the cameras in the vehicles.
Operational Guidelines#
Interactive checklist or embedded tutorial on using the cameras during field operations (e.g., when to start/stop recording, ensuring the camera is recording properly).
Recording Best Practices#
Tips for ensuring quality footage, adjusted for different weather and lighting conditions.
Weather and Road Conditions#
A dynamic section with tips on how to adapt based on real-time weather conditions (could include weather widgets or links to weather sources).
Safety Guidelines#
Embedded safety information for drivers, including best practices for operating equipment while ensuring safe driving.
Face and license plate blurring#
Uploading and Data Management#
Uploading Data#
Step-by-step instructions on how to upload footage to the Panoramax server, including images, videos, and FAQs.
Troubleshooting Upload Issues#
Interactive troubleshooting guide with common issues and solutions related to uploading (e.g., dealing with low internet connection).
Data Access#
How the data will be accessed and managed by the team, with direct links to server or database portals for review.
GoPro Model#
Specifications of the GoPro cameras used in the project (e.g., resolution, frame rate, lens specifications).
Panoramax#
What is Panoramax?#
Introduction to the Panoramax platform and its role in the project (image storage, processing, etc.).
Panoramax Features#
Key features of Panoramax that are relevant for the project (e.g., image organization, access controls, and analytics).
Data Security#
Information on how Panoramax ensures the security of the collected data.