3D Gaussian Splatting

The nice image comes straight from the actual research & development results. From right to left, you can see the Gaussian Splatting training process progressively improve the 3D reconstruction.

Bring Real data into Simulation (Real2Sim) and to... Movies.

Bridging the gap of Real and Simulation (Real2Sim - Sim2Real) toward engineering values is interesting and motivating to see how far we could push the boundary. Take a look at our 3D scene reconstruction demo in a parking scene, compare virtual and real side by side.

When reconstructing 3D traffic model from real world data (Real2Sim), one of the challenges is incorporating physical properties such as materials and textures.

Transform the vehicle sensor data into a large AI neural network model. The Gaussian Splatting model captures very well all details of the street from other cars, road terrains, trees, buildings… with high texture, color performance.

Autonomous vehicle dataset such as nuScenes, Waymo Motion, or your own collected one, is known valuable for algorithm development and testing. What's more?