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Titlebook: Robot 2023: Sixth Iberian Robotics Conference; Advances in Robotics Lino Marques,Cristina Santos,Manuel Ferre Conference proceedings 2024 T

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樓主: 他剪短
41#
發(fā)表于 2025-3-28 16:01:31 | 只看該作者
Development of?a?Low-Cost 3D Mapping Technology with?2D LIDAR for?Path Planning Based on?the?A, Algoovers the design and implementation of a circuit board to connect and control all components, including the LiDAR and motor. In addition, a 3D printed support structure was developed to connect the LiDAR to the motor shaft. System data acquisition and processing are addressed, as well as the generat
42#
發(fā)表于 2025-3-28 21:06:00 | 只看該作者
SynPhoRest - A Procedural Generation Tool of?Synthetic Photorealistic Forest Datasets vehicles in the forefront. Growing environmental awareness has directed efforts toward the development of autonomous systems for the maintenance and preservation of forested areas. Unlike urban areas, available datasets on these environments are scarce and incomplete. In addition, the complex and u
43#
發(fā)表于 2025-3-28 23:16:02 | 只看該作者
44#
發(fā)表于 2025-3-29 04:05:30 | 只看該作者
Green Deep Learning: Comparative Study of?Road Object Detectors Between Jetson Boards and?PCieving real-time performance with low power consumption remains a challenge included in the hot research topic known as green deep learning. In this paper, we present a comparative analysis of various YOLOv5 weights trained on the KITTI and SHIFT datasets using two platforms with different power con
45#
發(fā)表于 2025-3-29 09:11:21 | 只看該作者
Exploring Domain Adaptation with?Depth-Based 3D Object Detection in?CARLA Simulators driving. Deep Learning (DL) and transformer-based architectures have emerged as the preferred methods for object detection and segmentation tasks. However, DL-based methods often require extensive training with diverse data, posing challenges in terms of data availability and labeling. To address
46#
發(fā)表于 2025-3-29 14:07:38 | 只看該作者
Improving Energy Performance of?Camera Lidar Fusion by?Intermittent Human Detection for?Social Navig, which can be achieved only using computationally expensive algorithms running on a Graphical Processing Unit (GPU). The process is time consuming, causing latency and it cannot be run on low-end systems. Human detection and tracking also requires lidar data fusion to ensure proper localization. In
47#
發(fā)表于 2025-3-29 15:39:15 | 只看該作者
Visual Tracking of?Synthetic Space Platforms in?Low Orbit Using International Space Station Video Stor system intended to conduct assembly, maintenance, or deorbiting operations. The video stream from the International Space Station, publicly available, is used as background for an animated overlay of the target platform moving within the field of view of the camera. A real-synthetic video is gene
48#
發(fā)表于 2025-3-29 22:23:38 | 只看該作者
Driver Activity Recognition by?Fusing Multi-object and?Key Points Detectionints and object detection for predicting driver’s actions. From multi-camera infrared recordings, we will temporarily detect among a variety of actions that lead to distractions. Our system detects objects of interest and extracts key points from the driver. They are merged by generating features th
49#
發(fā)表于 2025-3-30 01:54:28 | 只看該作者
50#
發(fā)表于 2025-3-30 06:37:06 | 只看該作者
Assessing Infotaxis Sensitivity to?Model Quality Through Evolutionary Computationms in disaster scenarios. The existing approaches for locating odour sources can be divided between those that simply seek to reach the chemical source, and those that use gas dispersion models to estimate its location. One of the most popular source estimation approaches is Infotaxis, which has bee
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