OneAI Versions
18.05.2023
Q3 2023
Q4 2024
Q2 2024
2025
OneAI Platform, Janine Bubner
(rulebased)
Platform functionality
Backend:
continues model training in the cloud
Onboard:
OneAI native App: Service extention Container (OneAI Process inside the HU Domain together with Mbition) talks to 3 Containers (launch 3 Containers):
Basic Functions:
2 -3 Base Container (intelligence incl. IB Container & Learning Service Container (initial implementation of the IB, current running UAP on ZL kernel running within the intelligence Container), App Container (ZL tiles etc., own module control and interact with UI) add. Data & Content Container dependend on the MVP definition (collect Data from the vehicle Data interfaces)
preinstalled learning service container (dBus client/Server)
Use CASE Dummy has some interfaces to the UI and SPEECH for each individual container
between those Containers basic communication working (e.g Data can be send and App Container can use the service provider to use the Intelligence Container)
MVA Timeline? for Integration
Destination Prediction
Departure Prediction
Cognitive Load
Sina
Prasanjit
OneAI 1.0 Q4 2023
Platform functionality
Backend
Basic Functionality MVP
Update configuration
send Data to the Backend, training model Data
Onboard
logging end to end
more Data sources like camera data for more use cases
OneAI 1.0 closer to smart intelligence e.g. simple customer modelling
Provide Interfaces to enable intelligence broker services to applications which are not running on the current OneAI platform e.g. abacus
To make rules of intelligence broker configurable
abacus can use the intelligence broker
Platform functionality
Backend
include mobile devices into the platform - mobile platform (phone)
run a new ML module on the backend (distributed learning)
generalized federated learning (Backend Pipeline and Data collection in real time?)
ML validation (control stage deployment) before customer rollout
Onboard
abacus applications are running on the OneAI Platform
integrate all AI applications (native integration)
"Brain" Intelligence by using cognitive load, scene understanding
platform allows newest industry cutting edge AI technology products
enabling different usecases (Platform adaption)
L4 driving usecases
edrive usecases
suspension
energy efficiency