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Technologies / Artificial Intelligence

Sensor Fusion Algorithms

Advanced training dedicated to algorithms and techniques for combining data from multiple sensors. Participants will learn theory and practical implementations of sensor fusion methods, with special emphasis on applications in robotics and autonomous systems. The program combines solid mathematical foundations with practical programming and algorithm implementation in real-world scenarios.

Required Participant Preparation

  • Knowledge of robotics basics

  • Programming fundamentals

  • Understanding of linear algebra

  • Knowledge of probability basics

Benefits

  • Ability to implement fusion algorithms
  • Knowledge of data filtering methods
  • Ability to design sensor systems
  • Algorithm optimization skills
  • Knowledge of autonomous systems
  • Familiarity with programming tools
  • Ability to debug implementations
  • Certificate confirming specialization

Who is this training for?

Autonomous systems engineers
Robotics programmers
Machine learning specialists
Control systems engineers
Scientists working in robotics
IoT systems developers
Embedded systems specialists
Autonomous systems researchers

Training program

01

Sensor types and characteristics

  • Probabilistic models
02

Signal filtering

  • Calibration and synchronization
  • Data Fusion Algorithms
03

Kalman Filter

  • Particle filters
  • Probabilistic methods
  • Multi-sensor fusion
  • Practical Implementation
04

Algorithm programming

  • Performance optimization
  • Testing and validation
  • Implementation debugging
  • Applications and Use Cases
  • Navigation systems
05

Mobile robotics

  • SLAM systems
  • Autonomous vehicles

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

The Sensor Fusion Algorithms training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Autonomous systems engineers; Robotics programmers; Machine learning specialists.

Patrycja Petkowska
Patrycja Petkowska Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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