In this work, we propose a neural network (NN) based solution to efficiently process radar data. We introduce RadarPCNN, an architecture specifically designed for performing semantic segmentation on radar point
Continual Semantic Segmentation With Automatic Memory Sample Selection Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation Open-Set Semantic Segmentation for Point Clouds via Adversarial ...
论文提出了一种名为AdaPKC(AdaptivePeakConv)的新方法,用于雷达语义分割(Radar Semantic Segmentation, RSS),并针对雷达信号处理提出了一种自适应调整感受野(Receptive Field, RF)的机制。 1. 研究背景与动机 雷达信号处理的重要性:雷达作为一种常见的远程传感器,在复杂环境下(如不同天气和光照条件)比摄像头更具鲁棒...
1. Introduction 3D semantic segmentation of LiDAR point clouds has played a key role in scene understanding, facilitating applications such as autonomous driving [6, 23, 26, 28, 46, 60, 63] and robotics [3, 38, 51, 52]. However, many contemporary meth- ods require rela...
Results of participants will be presented on the official H3D homepage (https://ifpwww.ifp.uni-stuttgart.de/benchmark/hessigheim/results.aspx) in order to reflect the state of the art of semantic segmentation of point clouds and meshes. 2.8. Evaluation metrics Semantic segmentation results ...
Road segmentation with image-LiDAR data fusion in deep neural network Article 27 July 2019 Depth Estimation via Sparse Radar Prior and Driving Scene Semantics Chapter © 2023 A Cylindrical Convolution Network for Dense Top-View Semantic Segmentation with LiDAR Point Clouds Chapter © 2023 ...
ARTICLE HISTORY Received 8 December 2023 Accepted 4 June 2024 KEYWORDS Real road scenes; UAV imagery; semantic segmentation; improved U- Net; 3D reconstruction 1. Introduction Traffic management, disaster management, and public health all rely on road information (Guan et al. 2016; Liu, Yang, ...
Youcheng Zhang*, Liwen Zhang*, Zijun Hu, et al., TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network, accepted by NeurIPS 2024, paper ID: 9831 (* Equal Contributions).Brief introductions of the paperTARSS-Net Structure TARSS-Net Basic Idea Comparison of other sequential models ...
数据集:实验使用了三个数据集来验证TARSS-Net的性能,包括CARRADA、CARRADA-RAC和KuRALS。CARRADA是一个大规模的多视图标注雷达记录数据集,包含不同天气条件下的驾驶场景中的四类对象;CARRADA-RAC是CARRADA的改进版本,对RA视图进行了校准;KuRALS是一个大规模的自收集真实数据集,包含各种典型目标。 训练设置:所有模...
论文解读:不吃早餐:【IDPT论文解读】Multi-View Radar Semantic Segmentation 准备工作 CARRADA数据集 23G的就可以了,作者提供的代码适用于这个。 或者大家可以去百度飞桨paddle的AI Studio上下载我上传的Carrada数据集。 # 解压数据 tar -zxvf Carrada.tar.gz python环境 conda conda create -n mvrss python=...