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.

Algorithms development

  • In vehicle sensing: Driver cabin monitoring
  • AI for ADAS : Multi sensor fusion, environment perception, computer vision
  • Environment modelling: human behavior analytics ,”smart infrastructure” monitoring

Data Management

  • Simulation for synthetic data: algorithm development optimization
  • Data science methodologies
  • Active learning / reinforcement learning
  • Verification and validation

Tooling

  • Baseline training chains
  • Scalable algo implementation
  • SW framework for pre-deployment
  • Examples: Keras, Redvine, Pytorch, Tensorflow / ROS, C++ …

Deployment

  • Embedded integration
  • Runtime optimization
  • Sensor-based development
  • Multi-platform ECU implementation: Linux PC, Nvidia, Qualcomm, Texas Instruments, Renesas …

Relevant Links

Simulation Engineering

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

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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.

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Data Services

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.

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