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A review of 3D object detection based on autonomous driving
3D object detection is a popular research direction in recent years, which plays an important role in the fields of automatic driving, intelligent...
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3D object detection
In this video segment, we will mainly go through the algorithms for 3D object detection and finally use one paper to show we can develop 3D object...
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Geometric relation-based feature aggregation for 3D small object detection
Point cloud-based 3D small object detection is crucial for autonomous driving and smart ships. The current 3D object detection mainly relies on...
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CenRadfusion: fusing image center detection and millimeter wave radar for 3D object detection
The fusion of visual and millimeter-wave radar data has emerged as a prominent solution for precise 3D object detection. This paper focuses on the...
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GRAMO: geometric resampling augmentation for monocular 3D object detection
Data augmentation is widely recognized as an effective means of bolstering model robustness. However, when applied to monocular 3D object detection,...
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Path aggregation one-stage anchor free 3D object detection
In recent years, autonomous driving has entered a rapid development phase and put forward more challenging requirements for perception technology....
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3D Object Detection for Autonomous Driving: A Comprehensive Survey
Autonomous driving, in recent years, has been receiving increasing attention for its potential to relieve drivers’ burdens and improve the safety of...
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Collaborative 3D Object Detection
3D object detection is one of the most fundamental tasks of an autonomous system, which has made great progress recently. However, limited ability of...
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Sparse Embedded Convolution Based Dual Feature Aggregation 3D Object Detection Network
The algorithm design of compatible detection speed and accuracy based on LiDAR point clouds is a challenging issue in various practical applications...
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Survey and systematization of 3D object detection models and methods
Strong demand for autonomous vehicles and the wide availability of 3D sensors are continuously fueling the proposal of novel methods for 3D object...
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Improving 3D Object Detection with Context-Aware and Dimensional Interaction Attention
Recently, 3D object detection technology based on point clouds has developed rapidly. However, too few points of distant and occluded objects are...
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3D object detection based on point cloud in automatic driving scene
In many real-time applications such as autonomous driving and robotics, 3D object detection algorithms represented by PointPillars have great...
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DMFF: dual-way multimodal feature fusion for 3D object detection
Recently, multimodal 3D object detection that fuses the complementary information from LiDAR data and RGB images has been an active research topic....
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AFMCT: adaptive fusion module based on cross-modal transformer block for 3D object detection
Lidar and camera are essential sensors for environment perception in autonomous driving. However, fully fusing heterogeneous data from multiple...
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3D object detection based on fusion of image and point cloud in autonomous driving traffic scenarios
In order to improve the accuracy of 3D object detection in autonomous driving traffic Scenarios, this paper proposes a 3D object detection method...
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EFECL: Feature encoding enhancement with contrastive learning for indoor 3D object detection
Good proposal initials are critical for 3D object detection applications. However, due to the significant geometry variation of indoor scenes,...
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Multi-modal information fusion for LiDAR-based 3D object detection framework
With the rapid development of water transportation, ship safety supervision is facing more severe pressures and challenges. Precise and efficient...
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MVTr: multi-feature voxel transformer for 3D object detection
Convolutional neural networks have become a powerful tool for partial 3D object detection. However, their power has not been fully realized for...
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RGB-LiDAR fusion for accurate 2D and 3D object detection
Effective detection of road objects in diverse environmental conditions is a critical requirement for autonomous driving systems. Multi-modal sensor...
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Real-Time 3D Object Detection, Recognition and Presentation Using a Mobile Device for Assistive Navigation
This paper presents an integrated solution for 3D object detection, recognition, and presentation to increase accessibility for various user groups...
