From 4767d92a768af577f75ab05229c9fc87dda9681e Mon Sep 17 00:00:00 2001 From: Chang Gao Date: Thu, 21 Nov 2019 03:20:23 -0500 Subject: [PATCH] add gifs --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b059a82..cafd556 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ Semantic TSDF for self-driving static scene reconstruction. TSDF (truncated signed distance function) can be used to reconstruct the static scene around a self-driving car. Since it is fast and optimizable by GPU, we prefer to use TSDF rather than fused point cloud to represent the world. However, we must filter out dynamic objects that may hinder our reconstruction. Since motion-based methods will still capture cars that stop for a while at the red light, we would like to use semantic segmentation networks to filter out the objects that are possibly dynamic. -Below is the reconstruction result on KITTI sequence 0106. +Below is the reconstruction result on KITTI sequence 0106. Dynamic objects such as cars (including parked cars), bikes, and pedestrians are successfully filtered out. ![KITTI Sequence 0106](examples/0106_color.gif)