Project Enceladus Landing page
Landing page for all material related to Enceladus, developed by Rhea team
Created on February 14|Last edited on September 1
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Context
This short project has taken inspiration from the Woven Planet Level 5 blog on Improving ML Models for Autonomous Vehicles, which outlined their use of W&B Tables to help them understand safety critical corner cases such as pedestrian detection.
Overview
Project Enceladus has been initiated to establish a new Autonomous Vehicle Agent for our organization. Due to the large scope of the overall project, it has been split into a number of self-contained projects, each of which tackle a single functionality of the AV Agent, such as Semantic Segmentation, Depth Estimation, Lane Detection, etc. Each self-contained subproject under Project Enceladus is supposed to run in parallel during the first three quarters of of 2022 and will be split into a number of sprints. This would allow us to work through the last quarter of 2022 on putting all the separate functionalities developed under Project Enceladus together. This would enable us to have a working Autonomous Vehicle Agent by the end of 2022.
In the first sprint of Project Enceladus we try to achieve the following:
- Establish a new Semantic Segmentation Architecture
- Establish an iterative and explainable workflow for improving our Semantic Segmentation Model.
- Ideate of additional self-contained projects for functionalities such as Depth-estimation.
Project level stats
Runs
Artifacts
Business context and sponsors
Project Scope
Team members
Slack Integration: Enceladus channel
Github repo
Technical Dashboard
Current project metrics and evolution over time
Run set
313
Status Reports
Status Report - Nov 2021
A sample Autonomous Vehicle Project Status Report and Analysis
Status Report - Dec 2021
A sample Autonomous Vehicle Project Status Report and Analysis
Status Report - Jan 2022
A sample Autonomous Vehicle Project Status Report and Analysis
Status Report - Feb 2022
A sample Autonomous Vehicle Project Status Report and Analysis
Technical Notes / Reports
Notes for researchers, including a deep dive into our methodology and more!
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