Artificial Intelligence Solutions
Artificial intelligence solutions are powerful computing science methodologies ; pillars for the environment modelling required by “new mobility ecosystems” (automotive, railway, aeronautic, drone, last mile transportation …).
We have a competence center dedicated to those methodologies. Initially experts for automotive application we deploy this strong know-how to address diverse applications fields (mobility industries, smart infrastructure monitoring, …).
Our large competences portfolio address the full value chain of AI-based solutions.
- In vehicle sensing: Driver cabin monitoring
- AI for ADAS : Multi sensor fusion, environment perception, computer vision
- Environment modelling: human behavior analytics ,”smart infrastructure” monitoring
- Simulation for synthetic data: algorithm development optimization
- Data science methodologies
- Active learning / reinforcement learning
- Verification and validation
- Baseline training chains
- Scalable algo implementation
- SW framework for pre-deployment
- Examples: Keras, Redvine, Pytorch, Tensorflow / ROS, C++ …
- Embedded integration
- Runtime optimization
- Sensor-based development
- Multi-platform ECU implementation: Linux PC, Nvidia, Qualcomm, Texas Instruments, Renesas …
Simulation Engineering Simulation Engineering for ADAS/AD and Vehicle Dynamics Applications With comprehensive experience from a multitude of automotive development projects, CES’ Business Center Virtual Testing
Environmental Sensing & Automated Driving
Assisted and automated driving is a key megatrend in Off-Highway industries. With Continental Engineering Services you profit from mature and robust automotive sensors and functions that can be adapted to the individual off-highway-application.
The Data Services business center of Continental Engineering Services bundles the learnings of Continental on how to establish a data culture into an innovative service offering.