Autonomous Systems Engineer Course
This course provides hands-on training in building reliable low-speed autonomous vehicles for campus environments, focusing on key technologies like perception, localization, mapping, control, and testing to develop safer autonomous systems.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Autonomous Systems Engineer Course equips you with practical skills to construct dependable low-speed vehicles for campus use, covering basics of perception and sensor fusion, along with localization, mapping, and world modelling. You will explore control strategies, motion planning, and behaviour design, then advance to simulation, testing, and validation to implement safer, more robust autonomous systems effectively.
Elevify advantages
Develop skills
- Autonomous perception setup: quickly calibrate, synchronise, and preprocess multi-sensor data.
- Robust localisation and mapping: construct and sustain SLAM maps for campus-scale loops.
- Reliable detection and tracking: integrate LiDAR-camera data to monitor multiple moving objects.
- Safe motion planning: create rule-based, MPC, and socially aware trajectories for campus navigation.
- Autonomous vehicle testing expertise: set up simulators, hardware-in-the-loop tests, and continuous integration for autonomous systems.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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