StarNet: Targeted Computation for Object Detection in Point Clouds

29 Aug 2019Jiquan NgiamBenjamin CaineWei HanBrandon YangYuning ChaiPei SunYin ZhouXi YiOuais AlsharifPatrick NguyenZhifeng ChenJonathon ShlensVijay Vasudevan

Detecting objects from LiDAR point clouds is an important component of self-driving car technology as LiDAR provides high resolution spatial information. Previous work on point-cloud 3D object detection has re-purposed convolutional approaches from traditional camera imagery... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet