Robots under COVID-19 pandemic: A comprehensive survey
As a result of the difficulties brought by COVID-19 and its associated lockdowns, many
individuals and companies have turned to robots in order to overcome the challenges of the …
individuals and companies have turned to robots in order to overcome the challenges of the …
Smart cleaner: A new autonomous indoor disinfection robot for combating the covid-19 pandemic
The COVID-19 pandemic imposes an increasing demand for service robots as a substitute
for humans to conduct various types of work in contaminated areas. Such work includes …
for humans to conduct various types of work in contaminated areas. Such work includes …
Object detection, distributed cloud computing and parallelization techniques for autonomous driving systems
E Cortes Gallardo Medina, VM Velazquez Espitia… - Applied sciences, 2021 - mdpi.com
Featured Application This paper contains a comprehensive review of the current state-of-the-
art machine vision algorithms used to build a pipeline towards assisted driving and fully …
art machine vision algorithms used to build a pipeline towards assisted driving and fully …
Mmfn: Multi-modal-fusion-net for end-to-end driving
Inspired by the fact that humans use diverse sensory organs to perceive the world, sensors
with different modalities are deployed in end-to-end driving to obtain the global context of …
with different modalities are deployed in end-to-end driving to obtain the global context of …
Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs
The utilization of Large Language Models (LLMs) within the realm of reinforcement learning,
particularly as planners, has garnered a significant degree of attention in recent scholarly …
particularly as planners, has garnered a significant degree of attention in recent scholarly …
[HTML][HTML] A robust framework for simultaneous localization and mapping with multiple non-repetitive scanning lidars
With the ability to provide long range, highly accurate 3D surrounding measurements, while
lowering the device cost, non-repetitive scanning Livox lidars have attracted considerable …
lowering the device cost, non-repetitive scanning Livox lidars have attracted considerable …
On bundle adjustment for multiview point cloud registration
Multiview registration is used to estimate Rigid Body Transformations (RBTs) from multiple
frames and reconstruct a scene with corresponding scans. Despite the success of pairwise …
frames and reconstruct a scene with corresponding scans. Despite the success of pairwise …
MLOD: Awareness of extrinsic perturbation in multi-LiDAR 3D object detection for autonomous driving
Extrinsic perturbation always exists in multiple sensors. In this paper, we focus on the
extrinsic uncertainty in multi-LiDAR systems for 3D object detection. We first analyze the …
extrinsic uncertainty in multi-LiDAR systems for 3D object detection. We first analyze the …
Analyzing the nature of a transportation problem before and during COVID-19 pandemic in multi-fuzzy environment
In the twenty-first century, an unprecedented shock to both the public and freight
transportation is the outbreak of the COVID-19 (coronavirus disease of 2019) pandemic. All …
transportation is the outbreak of the COVID-19 (coronavirus disease of 2019) pandemic. All …
Deep Learning Empowered Fight Against COVID-19: A Survey
CL Chowdhary, HK Channi - Next Generation Healthcare Informatics, 2022 - Springer
In recent times, COVID-19 disease has created panic around the world. In the current
situation, the early detection of COVID-19 disease saves several lives. This virus impacts a …
situation, the early detection of COVID-19 disease saves several lives. This virus impacts a …