From 68c3baa7fe4047c2707ca3575c7fb0bff625fd09 Mon Sep 17 00:00:00 2001 From: Lu Junjie Date: Sun, 20 Oct 2024 17:37:23 +0800 Subject: [PATCH] update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d139471..8169ecf 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Video of this paper can be found: [YouTube](https://youtu.be/m7u1MYIuIn4), [bili Some realworld experiment: [YouTube](https://youtu.be/LHvtbKmTwvE), [bilibili](https://www.bilibili.com/video/BV1jBpve5EkP) ## Introduction: -We proposed **a learning-based planner for autonomous navigation in obstacle-dense environments** which intergrats (i) perception and mapping, (ii) front-end path searching, and (iii) back-end optimization of classical methods into a single network. +We propose **a learning-based planner for autonomous navigation in obstacle-dense environments** which intergrats (i) perception and mapping, (ii) front-end path searching, and (iii) back-end optimization of classical methods into a single network. Considering the multi-modal nature of the navigation problem and to avoid local minima around initial values, our approach adopts a set of motion primitives as anchor to cover the searching space, and predicts the offsets and scores of primitives for further improvement (like the one-stage object detector YOLO).