BF3D: Bi-directional fusion 3D detector with semantic sampling and geometric mapping

Y Zhu, J Xie, M Liu, L Yao, Y Chen - Image and Vision Computing, 2023 - Elsevier
Abstract 3D object detection is a key task in environmental awareness, which plays a vital
role in autonomous driving safety. Lidars and cameras are widely used sensors that provide …

MENet: Multi-Modal Mapping Enhancement Network for 3D Object Detection in Autonomous Driving

M Liu, Y Chen, J Xie, Y Zhu, Y Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
To achieve more accurate perception performance, LiDAR and camera are gradually
chosen to improve 3D object detection simultaneously. However, it is still a non-trivial task to …

VIPDA: A visually driven point cloud denoising algorithm based on anisotropic point cloud filtering

T Cattai, A Delfino, G Scarano… - Frontiers in Signal …, 2022 - frontiersin.org
Point clouds (PCs) provide fundamental tools for digital representation of 3D surfaces, which
have a growing interest in recent applications, such as e-health or autonomous means of …

Incorporating Spatio-Temporal Information in Frustum-ConvNet for Improved 3D Object Detection in Instrumented Vehicles

GM Venkatesh, NE O'Connor… - 2022 10th European …, 2022 - ieeexplore.ieee.org
Environmental perception is a key task for autonomous vehicles to ensure intelligent
planning and safe decision-making. Most current state-of-the-art perceptual methods in …

Design Strategy for Identification and Tracking of Video Objects Over Crowded Video Scenes using a Novel Feature-Learning Algorithm

S Guruprasad - 2023 3rd International Conference on Mobile …, 2023 - ieeexplore.ieee.org
The idea of tracking video objects has evolved to facilitate the area of surveillance systems.
It is mainly observed that the existing video tracking models are more inclined towards …

Visually relevant point clouds features extraction by Radial Angular Point cloud filtering

T Cattai, A Beghdadi, G Scarano… - 2022 10th European …, 2022 - ieeexplore.ieee.org
Next generation networks pave the way for innovative multimedia services based on
immersive 360 video, or extended reality data, such as point clouds (PCs). Herein we …

Multimodal spatio-temporal deep learning framework for 3D object detection in instrumented vehicles

VG Munirathnam - 2023 - doras.dcu.ie
This thesis presents the utilization of multiple modalities, such as image and lidar, to
incorporate spatio-temporal information from sequence data into deep learning architectures …

Computational Contextual Framework for Dynamic Tracking of Numerous Mobile Object

KS Kumar, NP Kavya - Proceedings of the Computational Methods in …, 2022 - Springer
The implication of object detection has been witnessing an evolutionary performance
improvement since last decade in multimedia processing; however, it is still inflicted with …