Computer Vision for Autonomous Systems and Robotics Course

Master robotic computer vision, including calibration, detection, depth, tracking, SLAM, sensor fusion and safety-focused deployment.

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Training Locations

This Computer Vision for Autonomous Systems and Robotics Course is available in multiple cities. Please select your preferred location from the list below

Durrës

Albania

Tirana

Albania

Andorra la Vella

Andorra

Escaldes-Engordany

Andorra

Innsbruck

Austria

Salzburg

Austria

Vienna

Austria

Gomel

Belarus

Minsk

Belarus

Antwerp

Belgium

Brussels

Belgium

Banja Luka

Bosnia and Herzegovina

Sarajevo

Bosnia and Herzegovina

Plovdiv

Bulgaria

Sofia

Bulgaria

Dubrovnik

Croatia

Split

Croatia

Zagreb

Croatia

Limassol

Cyprus

Nicosia

Cyprus

Brno

Czech Republic

Prague

Czech Republic

Aarhus

Denmark

Copenhagen

Denmark

Tallinn

Estonia

Tartu

Estonia

Helsinki

Finland

Tampere

Finland

Lyon

France

Marseille

France

Nice

France

Paris

France

Berlin

Germany

Frankfurt

Germany

Hamburg

Germany

Munich

Germany

Athens

Greece

Thessaloniki

Greece

Budapest

Hungary

Debrecen

Hungary

Akureyri

Iceland

Reykjavík

Iceland

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

St. Julian's

Malta

Valletta

Malta

Bălți

Moldova

Chișinău

Moldova

La Condamine

Monaco

Monte Carlo

Monaco

Budva

Montenegro

Podgorica

Montenegro

Amsterdam

Netherlands

Rotterdam

Netherlands

The Hague

Netherlands

Ohrid

North Macedonia

Skopje

North Macedonia

Bergen

Norway

Oslo

Norway

Gdańsk

Poland

Kraków

Poland

Warsaw

Poland

Faro

Portugal

Lisbon

Portugal

Porto

Portugal

Bucharest

Romania

Cluj-Napoca

Romania

City of San Marino

San Marino

Serravalle

San Marino

Belgrade

Serbia

Novi Sad

Serbia

Singapore

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kyiv

Ukraine

Lviv

Ukraine

Odesa

Ukraine

Dubai

United Arab Emirates

Birmingham

United Kingdom

Edinburgh

United Kingdom

London

United Kingdom

Manchester

United Kingdom

Rome (Vatican-adjacent)

Vatican City

Training Outlines

Introduction

Autonomous systems rely on computer vision to understand geometry, identify objects, estimate motion and support safe action in changing environments. Unlike conventional image classification, robotic perception must operate continuously, meet strict latency requirements and communicate uncertainty to localisation, planning and control systems.

This five-day course develops practical competence in vision for robotics and autonomous platforms. Participants will work with camera calibration, detection, segmentation, depth, tracking, visual odometry, SLAM and sensor fusion. The course emphasises real-time constraints, difficult operating conditions and safety-oriented evaluation for deployable perception systems.

Objectives

By the end of this course, participants will be able to:

Design a robotic vision and perception pipeline.
Calibrate cameras and manage coordinate frames.
Apply detection, segmentation and depth estimation.
Track objects and estimate visual motion.
Explain visual odometry and SLAM.
Fuse cameras with complementary sensors.
Evaluate latency, robustness and safety.
Design a deployable autonomous perception system.

Course Content

Day 1: Robotic Vision and Camera Geometry

Autonomous perception-system architecture
Camera models and lens distortion
Intrinsic and extrinsic calibration
Coordinate frames and transformations
Robotic vision datasets and labels
Camera-calibration laboratory

Day 2: Scene and Object Perception

Vision backbones and feature extraction
Real-time object detection
Semantic and instance segmentation
Monocular and stereo depth estimation
Free-space and occupancy perception
Scene-perception laboratory

Day 3: Motion, Localisation and Mapping

Feature matching and optical flow
Multi-object tracking
Pose estimation and geometry
Visual odometry
Visual SLAM and loop closure
Motion-estimation laboratory

Day 4: Sensor Fusion and Decision Interfaces

Camera, LiDAR, radar and IMU
Sensor calibration and time synchronisation
Kalman and Bayesian fusion
Perception confidence and uncertainty
Interfaces with planning and control
Multi-sensor fusion laboratory

Day 5: Real-Time and Safety-Critical Deployment

Edge hardware and latency budgets
Scenario and corner-case evaluation
Domain shift and sim-to-real transfer
Redundancy and fail-safe perception
Field monitoring and data feedback
Capstone autonomous-vision design

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Computer Vision for Autonomous Systems and Robotics Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.