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Multiscale Region-Based Convolutional Neural Networks for 3D Object Detection with LiDAR Sensors [PDF]

Sensors
LiDAR-based 3D object detection is essential for autonomous driving vehicles under poor lighting conditions. With LiDAR data, point cloud technologies have become increasingly important, as LiDAR sensors are largely cost down.
Wei-Jong Yang, Song-Bo Yao, Jar-Ferr Yang   +2 more
doaj   +2 more sources

MonoDFNet: Monocular 3D Object Detection with Depth Fusion and Adaptive Optimization [PDF]

Sensors
Monocular 3D object detection refers to detecting 3D objects using a single camera. This approach offers low sensor costs, high resolution, and rich texture information, making it widely adopted.
Yuhan Gao, Peng Wang, Xiaoyan Li, Mengyu Sun, Ruohai Di, Liangliang Li, Wei Hong   +6 more
doaj   +2 more sources

LiDAR-Based Intensity-Aware Outdoor 3D Object Detection [PDF]

Sensors
LiDAR-based 3D object detection and localization are crucial components of autonomous navigation systems, including autonomous vehicles and mobile robots.
Ammar Yasir Naich, Jesús Requena Carrión   +1 more
doaj   +2 more sources

Camera–Radar Fusion with Modality Interaction and Radar Gaussian Expansion for 3D Object Detection [PDF]

Cyborg and Bionic Systems
The fusion of millimeter-wave radar and camera modalities is crucial for improving the accuracy and completeness of 3-dimensional (3D) object detection.
Xiang Liu, Zhenglin Li, Yang Zhou, Yan Peng, Jun Luo   +4 more
doaj   +2 more sources

Review of 3D Object Detection for Autonomous Driving [PDF]

Jisuanji kexue, 2023
In recent years,with the rapid development of autonomous driving,3D object detection technology as the core of perception systems has received more and more attention and become a hot research direction.At the same time,the wide application of deep ...
HUO Weile, JING Tao, REN Shuang
doaj   +1 more source

Small Object Detection in 3D Urban Scenes [PDF]

Jisuanji kexue, 2022
3D object detection is the core of semantic analysis in 3D urban scenes,but the existing object detection methods mainly focus on large objects such as buildings and roads,while the detection accuracy of these methods for small objects such as street ...
CHEN Jia-zhou, ZHAO Yi-bo, XU Yang-hui, MA Ji, JIN Ling-feng, QIN Xu-jia
doaj   +1 more source

Research Progress on 3D Object Detection of LiDAR Point Cloud [PDF]

Jisuanji kexue yu tansuo, 2022
3D object detection is a new research direction in recent years, and its main task is the location and recognization of targets in space. The existing methods for 3D object detection using monocular or binocular stereo vision are easily affected by ...
ZHOU Yan, PU Lei, LIN Liangxi, LIU Xiangyu, ZENG Fanzhi, ZHOU Yuexia
doaj   +1 more source

LWD-3D: Lightweight Detector Based on Self-Attention for 3D Object Detection

CAAI Artificial Intelligence Research, 2022
Lightweight modules play a key role in 3D object detection tasks for autonomous driving, which are necessary for the application of 3D object detectors.
Shuo Yang, Huimin Lu, Tohru Kamiya, Yoshihisa Nakatoh, Seiichi Serikawa   +4 more
doaj   +1 more source

Leveraging Self-Paced Semi-Supervised Learning with Prior Knowledge for 3D Object Detection on a LiDAR-Camera System

Remote Sensing, 2023
Three dimensional (3D) object detection with an optical camera and light detection and ranging (LiDAR) is an essential task in the field of mobile robot and autonomous driving.
Pei An, Junxiong Liang, Xing Hong, Siwen Quan, Tao Ma, Yanfei Chen, Liheng Wang, Jie Ma   +7 more
doaj   +1 more source

Singular and Multimodal Techniques of 3D Object Detection: Constraints, Advancements and Research Direction

Applied Sciences, 2023
Two-dimensional object detection techniques can detect multiscale objects in images. However, they lack depth information. Three-dimensional object detection provides the location of the object in the image along with depth information.
Tajbia Karim, Zainal Rasyid Mahayuddin, Mohammad Kamrul Hasan   +2 more
doaj   +1 more source