Results 11 to 20 of about 71,089 (215)
A Comprehensive Review on 3D Object Detection and 6D Pose Estimation With Deep Learning
IEEE Access, 2021 Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of freedom) pose assumptions are widely discussed and studied in the field.
Sabera Hoque +4 more
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A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving
Sensors, 2022 LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast decision-making when driving. The sensor is used in the perception system, especially object detection, to understand the driving environment.
Simegnew Yihunie Alaba, John E. Ball
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YOLOv7-3D: A Monocular 3D Traffic Object Detection Method from a Roadside Perspective
Applied Sciences, 2023 Current autonomous driving systems predominantly focus on 3D object perception from the vehicle’s perspective. However, the single-camera 3D object detection algorithm in the roadside monitoring scenario provides stereo perception of traffic objects ...
Zixun Ye +3 more
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Transfer Learning Based Semantic Segmentation for 3D Object Detection from Point Cloud
Sensors, 2021 Three-dimensional object detection utilizing LiDAR point cloud data is an indispensable part of autonomous driving perception systems. Point cloud-based 3D object detection has been a better replacement for higher accuracy than cameras during nighttime ...
Muhammad Imad +2 more
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A Two-Stage Data Association Approach for 3D Multi-Object Tracking
Sensors, 2021 Multi-Object Tracking (MOT) is an integral part of any autonomous driving pipelines because it produces trajectories of other moving objects in the scene and predicts their future motion.
Minh-Quan Dao, Vincent Frémont
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A Survey on Deep Learning Based Segmentation, Detection and Classification for 3D Point Clouds
Entropy, 2023 The computer vision, graphics, and machine learning research groups have given a significant amount of focus to 3D object recognition (segmentation, detection, and classification).
Prasoon Kumar Vinodkumar +4 more
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Applied Sciences, 2023 Three-dimensional object detection is an essential and fundamental task in the field of computer vision which can be widely used in various scenarios such as autonomous driving and visual navigation.
Dan Zhao, Chaofeng Ji, Guizhong Liu
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Object-Based Change Detection Algorithm with a Spatial AI Stereo Camera
Sensors, 2022 This paper presents a real-time object-based 3D change detection method that is built around the concept of semantic object maps. The algorithm is able to maintain an object-oriented metric-semantic map of the environment and can detect object-level ...
Levente Göncz, András László Majdik
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3D object detection for autonomous driving: Methods, models, sensors, data, and challenges
Transportation Engineering, 2022 Detection of the surrounding objects of a vehicle is the most crucial step in autonomous driving. Failure to identify those objects correctly in a timely manner can cause irreparable damage, impacting our safety and society.
Alireza Ghasemieh, Rasha Kashef
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A survey of 3D object detection algorithms
智能科学与技术学报, 2023 3D object detection is a fundamental problem in autonomous driving，virtual reality，robotics，and other applications.Its goal is to extract the most accurate 3D box characterizing interested targets from the disordered point clouds，such as the closest 3D ...
Zhe HUANG, Yongcai WANG, Deying LI
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