Looking at two case studies
In this section, we will briefly discuss two well-known simulators for synthetic data generation, and comment on the potential of using these approaches.
AirSim
AirSim is an open source, cross-platform simulator developed by Microsoft using the Unreal game engine. It simulates drones and cars, opening the door for enormous applications in computer vision for DL and RL approaches for autonomous driving. Some of the key features of this simulator include the following:
- Various weather effects and conditions
- LIDAR and infrared sensors
- Customizable environment
- Realistic physics, environments, and sensors
As you can see, AirSim can be leveraged to generate rich, large-scale, and high-quality synthetic data from various sensors. Researchers in ML can train their models to fuse the different data modalities to develop more robust autonomous driving algorithms. Additionally, AirSim provides automatically labeled synthetic data for...
