From 0b59c5f3f946c385e4dceef0850918d561656131 Mon Sep 17 00:00:00 2001 From: RoyaLxPole Date: Thu, 14 Nov 2024 14:41:14 +0100 Subject: [PATCH] add decision --- doc/research/paf24/perception/lane_detection_research.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/doc/research/paf24/perception/lane_detection_research.md b/doc/research/paf24/perception/lane_detection_research.md index c708635d..638f2d09 100644 --- a/doc/research/paf24/perception/lane_detection_research.md +++ b/doc/research/paf24/perception/lane_detection_research.md @@ -118,6 +118,11 @@ For more details, view the paper [here](https://openaccess.thecvf.com//content/I It should be mentioned that the paper by Robin Karlsson et. al was also read, but it was not worth comparing it here as it was a selfsupervised learning model and was not trained on the above datasets but on a smaller dataset and used more sensors and cameras (6 cameras, 5 radars and 1 lidar) than allowed in the Qualify. But for interrested people you can find the paper [here](https://arxiv.org/pdf/2304.13242v2) +## Decision + +We choosed to implement the CLRerNet-DLA34 and the CondLSTR(ResNet-101) because they have already implemented code bases to save time. + + [1]: https://paperswithcode.com/task/lane-detection#datasets [2]: https://paperswithcode.com/dataset/tusimple [3]: https://arxiv.org/pdf/2305.17271v2