A survey of autonomous vehicles: Enabling communication technologies and challenges
The Department of Transport in the United Kingdom recorded 25,080 motor vehicle fatalities
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
Multi-sensor fusion in automated driving: A survey
Z Wang, Y Wu, Q Niu - Ieee Access, 2019 - ieeexplore.ieee.org
With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …
information transmission rate of 5G communication technology will overcome the barrier of …
A review on deep learning approaches for 3D data representations in retrieval and classifications
AS Gezawa, Y Zhang, Q Wang, L Yunqi - IEEE access, 2020 - ieeexplore.ieee.org
Deep learning approach has been used extensively in image analysis tasks. However,
implementing the methods in 3D data is a bit complex because most of the previously …
implementing the methods in 3D data is a bit complex because most of the previously …
A lidar point cloud generator: from a virtual world to autonomous driving
3D LiDAR scanners are playing an increasingly important role in autonomous driving as
they can generate depth information of the environment. However, creating large 3D LiDAR …
they can generate depth information of the environment. However, creating large 3D LiDAR …
End-to-end video background subtraction with 3d convolutional neural networks
Background subtraction in videos is a highly challenging task by definition, as it lays on a
pixel-wise classification level. Therefore, great attention to detail is essential. In this paper …
pixel-wise classification level. Therefore, great attention to detail is essential. In this paper …
Hypergraph-based multi-modal representation for open-set 3D object retrieval
The traditional 3D object retrieval (3DOR) task is under the close-set setting, which assumes
the categories of objects in the retrieval stage are all seen in the training stage. Existing …
the categories of objects in the retrieval stage are all seen in the training stage. Existing …
Efficient music recommender system using context graph and particle swarm
Music recommender systems is an important field of research because of easy availability
and use of online music. The most existing models only focus on explicit data like ratings …
and use of online music. The most existing models only focus on explicit data like ratings …
Discrete probability distribution prediction of image emotions with shared sparse learning
Computationally modelling the affective content of images has been extensively studied
recently because of its wide applications in entertainment, advertisement, and education …
recently because of its wide applications in entertainment, advertisement, and education …
Multi-view ensemble manifold regularization for 3D object recognition
View-based methods are popular in 3D object recognition. However, current methods with
traditional classifiers are usually based on one-to-one view matching and fail to capture the …
traditional classifiers are usually based on one-to-one view matching and fail to capture the …
Multi-view 3D object retrieval leveraging the aggregation of view and instance attentive features
In multi-view 3D object retrieval tasks, it is pivotal to aggregate visual features extracted from
multiple view images to generate a discriminative representation for a 3D object. The …
multiple view images to generate a discriminative representation for a 3D object. The …