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

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course equips you with hands-on skills to develop reliable low-speed autonomous vehicles for campuses, starting from perception basics and sensor fusion, progressing to localisation, mapping, and world modelling. You will explore control strategies, motion planning, and behaviour design, and gain proficiency in simulation, testing, and validation for deploying safer, more efficient autonomous systems.
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 environments.
- Reliable detection and tracking: fuse LiDAR-camera data to track multiple moving objects.
- Safe motion planning: design rule-based, MPC, and social-aware trajectories for campus navigation.
- 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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