The Autonomous Vehicles Laboratory (AVL) at TMU, led by Prof. Reza Faieghi, pushes the boundaries of provably safe autonomy for unmanned aerial and ground vehicles. We integrate state-of-the-art perception, motion planning, and control to build the next generation of autonomous systems.

• Collision-Free Motion Control
  Real-time algorithms for safe navigation of connected autonomous vehicles (CAVs).
• Perception & Mapping
  Vision-based SLAM, sensor fusion, and environment understanding.
• Hardware-Software Integration
  End-to-end drone design: airframes, avionics, PX4 Autopilot, and ROS.

Prof. Reza Faieghi, PhD
Assistant Professor, Department of Aerospace Engineering
Founder & Director, AVL

• Mohammadreza Izadi – Nonlinear control, Intelligent optimization, GNC systems & SLAM
• Zeinab Shayan – Research interests: Robotics and Mechatronics & Control Systems
• Amin Yazdanshenas – Robotics, Machine Learning & Computer Vision
• Surrayya Mobeen - Rotorcraft Dynamics, Artificial Intelligence, Estimation & Control

Interested students and collaborators, check out our Join Us page.

A full list of our papers and conference proceedings is available on the Publications page.

We release toolboxes, simulation frameworks, and algorithms as open-source. Browse our projects on GitHub or see the Software page.

Autonomous Vehicles Laboratory
Centre for Urban Innovation (CUI), Room 214
44 Gerrard St E, Toronto, ON M5B 1G3, Canada

• Email: avl@torontomu.ca
• Web: https://www.torontomu.ca/autonomous-vehicles-lab/

_{Built with ❤️ by the AVL team at TMU}