top of page

News to help your R&D in artificial intelligence, machine learning, robotics, computer vision, smart hardware

As an Amazon Associate I earn

from qualifying purchases

Writer's picturemorrislee

Getting better placement of objects in a scene

Getting better placement of objects in a scene


SBEVNet: End-to-End Deep Stereo Layout Estimation



... introduce the Stereo Bird's Eye ViewNetwork (SBEVNet), a novel supervised end-to-end framework for estimation of bird's eye view layout from a pair of stereo images.


Although our network reuses some of the building blocks from the state-of-the-art deep learning networks for disparity estimation, we show that explicit depth estimation is neither sufficient nor necessary.


Instead, the learning of a good internal bird's eye view feature representation is effective for layout estimation.


... We demonstrate our approach on two datasets:the KITTI dataset and a synthetically generated dataset from the CARLA simulator.


For both of these datasets, we establish state-of-the-art performance compared to baseline techniques.


Please like and share this post if you enjoyed it using the buttons at the bottom!


Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact

Web site with my other posts by category https://morrislee1234.wixsite.com/website


23 views0 comments

Comments


ClickBank paid link

bottom of page