找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Intelligent Autonomous Systems 18; Volume 1 Proceedings Soon-Geul Lee,Jinung An,Joo H. Kim Conference proceedings 2024 The Editor(s) (if ap

[復(fù)制鏈接]
樓主: 閃爍
11#
發(fā)表于 2025-3-23 10:13:10 | 只看該作者
Global Map Generation Using Local Feature Grid Maps for Autonomous Vehicles in Frequently Changing Oon algorithms are prone to frequent environmental changes such as light and reflections or foliage, dust, and vegetation. Humans, however, can navigate in such environments, mainly when they drive the same route frequently. They remember their environment and rely on their stored knowledge. State-of
12#
發(fā)表于 2025-3-23 17:36:27 | 只看該作者
13#
發(fā)表于 2025-3-23 18:17:35 | 只看該作者
RCBEVD: Radar-Camera Fusion in Bird’s Eye View for Detection with Velocity Estimationness. The outputs from these sensors are often fused to generate more accurate perception results, due to their complementary features. In this paper, we propose a method, RCBEVD: Radar-camera fusion in Bird’s Eye View (BEV) representation for detection with velocity estimation. We introduce a novel
14#
發(fā)表于 2025-3-23 22:19:17 | 只看該作者
15#
發(fā)表于 2025-3-24 05:58:39 | 只看該作者
Automatic Lane Change Using Adaptive Grid Map and make driving more convenient for the driver. In this paper, adaptive grid and occupancy map methods are proposed for automatic lane change. Nine grids are formed based on the ego vehicle to create an active occupancy grid map on the lane change request of the driver. It is suitable for use in a
16#
發(fā)表于 2025-3-24 08:25:02 | 只看該作者
17#
發(fā)表于 2025-3-24 11:24:00 | 只看該作者
Factor Graph-Based Dense Mapping for Mobile Robot Teams Using VDB-Submapsdered solved for years, there still exist various environments, use cases, or robot configurations which require new approaches in order to successfully perform the task. This work addresses how a group of mobile robots can collaboratively create a . 3D map that is globally consistent and accounts f
18#
發(fā)表于 2025-3-24 16:20:16 | 只看該作者
19#
發(fā)表于 2025-3-24 20:22:28 | 只看該作者
Improvement of Position Error Rate of Docking of Autonomous Mobile Robot with Object Recognition anda. In an autonomous mobile robot, the angle is calculated using only ultrasonic data, and the resulting position error rate is docked by fusing the ultrasonic sensor and the object recognition data, and the resulting position error rate is compared. Through this experiment, we confirmed the improvem
20#
發(fā)表于 2025-3-24 23:14:11 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 07:27
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
民和| 罗江县| 浦北县| 鹤壁市| 冀州市| 安仁县| 乐昌市| 曲周县| 宁德市| 札达县| 永昌县| 临城县| 宁阳县| 怀宁县| 济源市| 五大连池市| 乌鲁木齐市| 红桥区| 阿鲁科尔沁旗| 冕宁县| 常州市| 衡阳县| 团风县| 洪雅县| 青州市| 南涧| 南皮县| 仁怀市| 奉贤区| 泰和县| 靖江市| 格尔木市| 本溪| 临泉县| 嘉禾县| 哈巴河县| 黄梅县| 渝中区| 江阴市| 桐柏县| 吉隆县|