Autonomous Systems Engineer Course
Gain expertise in the complete autonomous stack for low-speed vehicles, covering perception, mapping, localisation, motion planning, control, and safety validation. Develop practical skills to design, test, and deploy dependable autonomous systems on real-world campuses with confidence.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with hands-on skills to develop reliable low-speed campus vehicles, starting from perception basics and sensor fusion, through localisation, mapping, and world modelling. You will explore control strategies, motion planning, and behaviour design, then excel in simulation, testing, and validation for safer, more efficient autonomous systems deployment.
Elevify advantages
Develop skills
- Autonomous perception setup: quickly calibrate, synchronise, and preprocess multi-sensor data.
- Robust localisation and mapping: create and maintain SLAM maps for campus-scale loops.
- Reliable detection and 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: set up simulators, HIL tests, and CI for autonomous stacks.
Suggested summary
Before starting, you can change the chapters and 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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