The simulation platform supports flexible specification of sensor suites, environmental conditions, full control of all static and dynamic actors, maps generation and much more.

Jun 10, 2024 · We are releasing a development version with the latest features; multi-client support and a completely redesigned API that allows to control every vehicle in the simulation.

Mar 18, 2024 · In the fast-paced world of autonomous vehicle (AV) development, the CARLA Autonomous Driving Simulator has quickly become a go-to resource for developers and researchers …

He holds a PhD in Visual Simultaneous Localization and Mapping for Autonomous Cars from the Computer Vision Center in Barcelona. He manages several open source projects in autonomous …

CARLA Ecosystem Inverted AI provides state of the art generative AI to drive realistic, human-like non-player-character (NPC) behavior in driving simulations. Experts in AI, their mission is to enable the …

Apr 21, 2023 · CARLA is being widely used for the virtual testing of autonomous road vehicles with realistic environment simulation. But have you ever tried to use it for off-road applications such as …

Jun 28, 2023 · To improve the fidelity of the simulation, the platform adds physically realistic and AI-based sensor models as well as data-driven traffic simulations. The entire platform can be scaled …

The Embodied AI Foundation is located in California and contributes to the development of CARLA from a legal and organizational point of view. It also contributes to the development and dissemination of …

The Leaderboard will take care of running your autonomous agent and evaluate its behavior in different traffic situations across multiple routes. To better understand this process, let’s run a basic agent.

The leaderboard serves as an open platform for the community to perform fair and reproducible evaluations of autonomous vehicle agents, simplifying the comparison between different approaches.