An empirical study of training state-of-the-art LiDAR segmentation models
In the rapidly evolving field of autonomous driving, precise segmentation of LiDAR data is
crucial for understanding complex 3D environments. Traditional approaches often rely on …
crucial for understanding complex 3D environments. Traditional approaches often rely on …
LiDAR Denoising Methods in Adverse Environments: A Review
Although Light Detection and Ranging (LiDAR) is a sensor type for autonomous vehicles, it
is recognized as an essential tool in various fields, such as drones, Unmanned Surface …
is recognized as an essential tool in various fields, such as drones, Unmanned Surface …
PPDistiller: Weakly-supervised 3D point cloud semantic segmentation framework via point-to-pixel distillation
Y Zhang, Z Wu, R Lan, Y Liang, Y Liu - Knowledge-Based Systems, 2024 - Elsevier
Despite the significant growth in the availability of 3D light detection and ranging (LiDAR)
point cloud data in recent years, annotation remains expensive and time-consuming. This …
point cloud data in recent years, annotation remains expensive and time-consuming. This …
Hawkeye: A Point Cloud Neural Network Processor With Virtual Pillar and Quadtree-Based Workload Management for Real-Time Outdoor BEV Detection
Large-scale 3-D processing using the point cloud neural network (PNN) has become
essential for applications such as an autonomous driving system. Among the various …
essential for applications such as an autonomous driving system. Among the various …
Real-Time Weather Classification using Transfer Learning for Enhanced Safety and Decision-Making
T Jayanth, S Shahid, J Gracewell - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Weather conditions are critical in various aspects of daily life, particularly in transportation
safety, where adverse weather can lead to accidents and disruptions. Traditional weather …
safety, where adverse weather can lead to accidents and disruptions. Traditional weather …