Autonomous Systems Engineer Course
This course provides hands-on training in building reliable low-speed autonomous vehicles for campus use, focusing on perception, sensor fusion, localisation, mapping, control, motion planning, and rigorous testing to ensure safe and effective 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 environments, covering basics of perception and sensor fusion, along with localisation, mapping, and world modelling. You will explore control strategies, motion planning, and behaviour design, followed by expertise in simulation, testing, and validation to implement safer, more robust autonomous systems effectively and assuredly.
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 considerate trajectories for campus settings.
- AV testing mastery: set up simulators, HIL tests, and CI 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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