With the rapid advancements in autonomous vehicle (AV) research, simulation tools have become indispensable for testing algorithms, validating perception models, and designing robust control strategies. In my latest article, I explored some of the best AV simulation and design software available.

Key highlights include: ✅ CARLA – An open-source simulator widely used for research, offering high-fidelity environments and support for deep learning-based perception models. ✅ LGSVL (SVL Simulator) – A powerful platform for end-to-end AV testing, featuring integration with Autoware and Apollo. ✅ PreScan – A physics-based simulator ideal for sensor modeling and ADAS development. ✅ VTD (Virtual Test Drive) – Used in the automotive industry for high-precision virtual testing of self-driving technologies. ✅ AirSim – Developed by Microsoft, offering realistic physics simulations for drones and autonomous cars, with reinforcement learning support. ✅ Gazebo – A preferred choice for robotics and AV research, especially for those working with ROS.

Each of these tools has unique strengths, and the best choice depends on the project's specific requirements—whether it's sensor fusion, real-time control, or large-scale traffic simulations.

🔹 What simulation tools do you use for your AV research? 🔹 Have you encountered any limitations with these platforms? 🔹 Are there emerging AV simulation tools that deserve more attention?

Check out my full analysis here: https://medium.com/p/f48e849e4de2

Looking forward to insights from fellow researchers!