Autonomous Systems Engineer Course
This course provides hands-on training in building reliable low-speed autonomous vehicles for campus environments, focusing on perception, localisation, control, planning, and validation techniques to ensure safe and efficient deployment.

flexible workload of 4 to 360h
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 localisation, mapping, and world modelling. You will learn control strategies, motion planning, and behaviour design, then gain expertise in simulation, testing, and validation to deploy safer, more robust autonomous systems confidently and efficiently.
Elevify advantages
Develop skills
- Autonomous perception setup: quickly calibrate, synchronise, and preprocess multi-sensor data.
- Robust localisation & mapping: construct and maintain SLAM maps for campus-scale loops.
- Reliable detection & tracking: fuse LiDAR-camera data to track multiple moving objects.
- Safe motion planning: design rule-based, MPC, and social-aware campus trajectories.
- AV testing mastery: configure simulators, HIL tests, and CI for autonomous stacks.
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 workloadWhat our students say
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