output of CSV files with telemetry data to analyze driving sessions.tyres pickup of marbles, grass and dirt, affecting grip.wet track simulation and dynamic drying.automotive industry-standard tyre model.Please note that there are neither AI nor a career mode. During events data is collected, to provide statistics for drivers' comparison. Kart Racing Pro also allows to host and join online races, with an integrated matchmaking server. The aim is to create a software useful as a training tool for real drivers, based on a scratch built physics engine that accurately simulates kart dynamics and setup options.Īs such a steering wheel is strongly recommended, although keyboard, joysticks and gamepads are fully supported.

Intel expects these new simulation tools to significantly improve the development of autonomous systems using virtual testing, which reduces the risks, costs, and delays associated with traditional testing and verification protocols. In the future, the simulation platform will go beyond validation to create AI models ready for implementation in the real world.Kart Racing Pro is a realistic karting simulator. Then, teams will validate the performance of the robot in simulation, saving significant time and resources. Phase two will also include the development of new sim2real techniques – the concept of training the robot in simulation to acquire skills and then transferring these skills to a corresponding real robotic system – enabling the training of off-road autonomous ground vehicles directly in simulation. Intel Labs’ simulation platform will enable customization of future maps, including the creation of massive new environments covering more than 100,000 square miles with just a few clicks.ĭuring phase two, Intel Labs will work with RACER collaborators to accelerate the research and development process by implementing new algorithms without the use of a physical robot. Creating simulation environments at scale is a process that traditionally requires significant resources and is one of the biggest challenges in simulation workflows. In phase one, Intel’s focus is to create new simulation platforms and map generation tools that mimic complex off-road environments with the highest accuracy (e.g., physics, sensor modeling, terrain complexity, etc.), at scales never seen before. How It Works: RACER-Sim includes two phases over 48 months with the aim of accelerating the entire research and development process for designing off-road autonomous ground vehicles.

Professional sim racer programs