NVIDIA DRIVE Sim is an autonomous driving AI dataset and metaverse platform (virtual world) developed by Nvidia (USA) for the ICT, software & AI development and transport & mobility industries. Its key value is to enable developers to virtually deploy and test self-driving vehicles in a high-fidelity and physically accurate simulated virtual world, with datasets that can be generated for perception training or decision-making testing for the self-driving algoritm.
| Product | NVIDIA DRIVE Sim |
| Company | Nvidia (USA) |
| Function | autonomous driving AI dataset and metaverse platform (virtual world) |
| Industry | ICT, Software & AI Development and Transport & Mobility |
| Tech Domain | AI |
| URL | https://developer.nvidia.com/drive/drive-sim.. |
NuReality is an autonomous driving AI dataset and metaverse platform (virtual world) developed by Motional (USA) for the transport & mobility industry. Its key value is to enable autonomous-driving researchers and developers to make use of its custom-built virtual reality (VR) environment to study the interactions between autonomous vehicles (Avs) and pedestrians. Read More
Autonomous driving AI datasetMetaverse platform (virtual world)
Sandbox is a metaverse platform (virtual world) developed by Sandbox (China (Hong Kong)) for the entertainment, social media and metaverse industries. Its key value is to provide a 3D metaverse where creators can monetize their 3D assets and experiential spaces on the Sandbox marketplace. Read More
Canadian Adverse Driving Conditions Dataset is an autonomous driving AI dataset developed by University of Waterloo (Canada) and University of Toronto (Canada) for the transport & mobility industry. Canadian Adverse Driving Conditions Dataset was published in 2020 and contains 56,000 frames of imagery featured adverse/snow driving conditions in Waterloo, Canada. Read More
LeddarTech PixSet Dataset is an autonomous driving AI dataset developed by LeddarTech (Canada) for the transport & mobility industry. The PixSet dataset was released by LeddarTech in 24 February 2021 and provides 29,000 frames of data around urban areas in Canada. Read More
Waymo released its open dataset on 21 August 2019. According to Waymo, the Waymo Open Dataset contains data from 1,000 driving segments. Each segment captures 20 seconds of continuous driving, corresponding to 200,000 frames at 10 Hz per sensor. Each segment contains sensor data from five high-resolution Waymo lidars and five front-and-side-facing cameras, and includes lidar frames and images with.. Read More
Lyft released the Level 5 Dataset on 23 July 2019. According to Lyft, Lyft used a fleet of Ford Fusion vehicles for data collection using two different configurations of LiDARs and cameras. The Lyft Level 5 Dataset includes over 55,000 human-labeled 3D annotated frames, data from 7 cameras and up to 3 LiDARs, a drivable surface map and underlying HD spatial semantic map of the surveyed region (inc.. Read More