From 7811ad8cc44eecc05bb131bb50999a245852c2c1 Mon Sep 17 00:00:00 2001 From: Krishna Date: Sat, 14 Sep 2024 16:44:08 -0500 Subject: [PATCH] redo of literature review --- content/robotics/SLAM by Durrant 2006 Part 1.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/robotics/SLAM by Durrant 2006 Part 1.md b/content/robotics/SLAM by Durrant 2006 Part 1.md index 3f211fc..0066e07 100644 --- a/content/robotics/SLAM by Durrant 2006 Part 1.md +++ b/content/robotics/SLAM by Durrant 2006 Part 1.md @@ -60,7 +60,7 @@ Sparing you the the drivel: ### Solutions Solutions to the probabilistic SLAM problem necessitate a hunt for an appropriate algorithmic and thorough mathematical model to facilitate the computation of the Motion, Observation, and Time-Update posterior probability density models. The first solution discussed in this paper is ***EKF-SLAM***, which will not be discussed here, in favor of a deeper dive in another note: -![[EKF-SLAM#Introduction]] + ## Citation H. Durrant-Whyte and T. Bailey, "Simultaneous localization and mapping: part I," in IEEE Robotics & Automation Magazine, vol. 13, no. 2, pp. 99-110, June 2006, doi: 10.1109/MRA.2006.1638022. @@ -71,4 +71,4 @@ H. Durrant-Whyte and T. Bailey, "Simultaneous localization and mapping: part I," # Credits Author of this note: Krishna Ayyalasomayajula -#paper-review #SLAM #krishna #literature-review \ No newline at end of file +#paper-review #SLAM #krishna #literature-review