Toyota Jidosha Kabushiki Kaisha

Toyota Research Institute, Inc.

Dian Chen

Adrien David Gaidon

Rares A Ambrus

Igor Vasiljevic

Vitor Campagnolo Guizilini

Systems, methods, and other embodiments described herein relate to estimating scaled depth maps by sampling variational representations of an image using a learning model. In one embodiment, a method includes encoding data embeddings by a learning model to form conditioned latent representations using attention networks, the data embeddings including features about an image from a camera and calibration information about the camera. The method also includes computing a probability distribution of the conditioned latent representations by factoring scale priors. The method also includes sampling the probability distribution to generate variations for the data embeddings. The method also includes estimating scaled depth maps of a scene from the variations at different coordinates using the attention networks.

Growing community of inventors

San Jose, CA, United States of America

Dian Chen