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View article: Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking
Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking Open
This work addresses the critical lack of precision in state estimation in the Kalman filter for 3D multi-object tracking (MOT) and the ongoing challenge of selecting the appropriate motion model. Existing literature commonly relies on cons…
View article: Underwater Image Enhancement by Convolutional Spiking Neural Networks
Underwater Image Enhancement by Convolutional Spiking Neural Networks Open
Underwater image enhancement (UIE) is fundamental for marine applications, including autonomous vision-based navigation. Deep learning methods using convolutional neural networks (CNN) and vision transformers advanced UIE performance. Rece…
View article: Optimized Flare Performance Analysis Through Multi-Modal Machine Learning and Temporal Standard Deviation Enhancements
Optimized Flare Performance Analysis Through Multi-Modal Machine Learning and Temporal Standard Deviation Enhancements Open
Flaring is a routine practice in the upstream gas industry to dispose of waste gases, but its efficiency can drop significantly under non-ideal conditions such as crosswinds, over-aeration, or over-steaming. These inefficiencies lead to in…
View article: Toward Fully Autonomous Last-Mile Logistics: A Case Study With a Safety-Boosted Self-Driving Delivery Robot
Toward Fully Autonomous Last-Mile Logistics: A Case Study With a Safety-Boosted Self-Driving Delivery Robot Open
While crucial to customer satisfaction, last-mile delivery (LMD) remains the most time-consuming and costly stage of the shipping process. Pressing environmental concerns and the recent surge in e-commerce sales have sparked renewed intere…
View article: Dehazing-aided Multi-Rate Multi-Modal Pose Estimation Framework for Mitigating Visual Disturbances in Extreme Underwater Domain
Dehazing-aided Multi-Rate Multi-Modal Pose Estimation Framework for Mitigating Visual Disturbances in Extreme Underwater Domain Open
This paper delves into the potential of DU-VIO, a dehazing-aided hybrid multi-rate multi-modal Visual-Inertial Odometry (VIO) estimation framework, designed to thrive in the challenging realm of extreme underwater environments. The cutting…
View article: Hybrid-Neuromorphic Approach for Underwater Robotics Applications: A Conceptual Framework
Hybrid-Neuromorphic Approach for Underwater Robotics Applications: A Conceptual Framework Open
This paper introduces the concept of employing neuromorphic methodologies for task-oriented underwater robotics applications. In contrast to the increasing computational demands of conventional deep learning algorithms, neuromorphic techno…
View article: Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review
Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review Open
Recent years witnessed remarkable progress in computational histopathology, largely fueled by deep learning. This brought the clinical adoption of deep learning-based tools within reach, promising significant benefits to healthcare, offeri…
View article: MonoVisual3DFilter: 3D tomatoes’ localisation with monocular cameras using histogram filters
MonoVisual3DFilter: 3D tomatoes’ localisation with monocular cameras using histogram filters Open
Performing tasks in agriculture, such as fruit monitoring or harvesting, requires perceiving the objects’ spatial position. RGB-D cameras are limited under open-field environments due to lightning interferences. So, in this study, we state…
View article: Efficient Hybrid Neuromorphic-Bayesian Model for Olfaction Sensing: Detection and Classification
Efficient Hybrid Neuromorphic-Bayesian Model for Olfaction Sensing: Detection and Classification Open
Olfaction sensing in autonomous robotics faces challenges in dynamic operations, energy efficiency, and edge processing. It necessitates a machine learning algorithm capable of managing real-world odor interference, ensuring resource effic…
View article: BVE + EKF: A viewpoint estimator for the estimation of the object's position in the 3D task space using Extended Kalman Filters
BVE + EKF: A viewpoint estimator for the estimation of the object's position in the 3D task space using Extended Kalman Filters Open
RGB-D sensors face multiple challenges operating under open-field environments because of their sensitivity to external perturbations such as radiation or rain. Multiple works are approaching the challenge of perceiving the 3D position of …
View article: RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud Open
This paper addresses limitations in 3D tracking-by-detection methods, particularly in identifying legitimate trajectories and reducing state estimation drift in Kalman filters. Existing methods often use threshold-based filtering for detec…
View article: Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack Open
Robotic technologies have been an indispensable part for improving human productivity since they have been helping humans in completing diverse, complex, and intensive tasks in a fast yet accurate and efficient way. Therefore, robotic tech…
View article: AI-Enhanced Gas Flares Remote Sensing and Visual Inspection: Trends and Challenges
AI-Enhanced Gas Flares Remote Sensing and Visual Inspection: Trends and Challenges Open
The real-time analysis of gas flares is one of the most challenging problems in the operation of various combustion-involving industries, such as oil and gas refineries. Despite the crucial role of gas flares in securing safe plant operati…
View article: Predictors of prostate cancer cetection in MRI PI-RADS 3 lesions – Reality of a terciary center
Predictors of prostate cancer cetection in MRI PI-RADS 3 lesions – Reality of a terciary center Open
Introduction and objectives: The Prostate Imaging Reporting and Data System (PI-RADS) score reports the likelihood of a clinically significant prostate cancer (CsPCa) based on various multiparametric prostate magnetic resonance imaging (mp…
View article: Center-Focused Affinity Loss for Class Imbalance Histology Image Classification
Center-Focused Affinity Loss for Class Imbalance Histology Image Classification Open
Early-stage cancer diagnosis potentially improves the chances of survival for many cancer patients worldwide. Manual examination of Whole Slide Images (WSIs) is a time-consuming task for analyzing tumor-microenvironment. To overcome this l…
View article: MonoVisual3DFilter: 3D tomatoes' localisation with monocular cameras using histogram filters
MonoVisual3DFilter: 3D tomatoes' localisation with monocular cameras using histogram filters Open
Performing tasks in agriculture, such as fruit monitoring or harvesting, requires perceiving the objects' spatial position. RGB-D cameras are limited under open-field environments due to lightning interferences. So, in this study, we state…
View article: Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots Open
In addition to its crucial impact on customer satisfaction, last-mile delivery (LMD) is notorious for being the most time-consuming and costly stage of the shipping process. Pressing environmental concerns combined with the recent surge of…
View article: DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion Open
Persistent multi-object tracking (MOT) allows autonomous vehicles to navigate safely in highly dynamic environments. One of the well-known challenges in MOT is object occlusion when an object becomes unobservant for subsequent frames. The …
View article: SIPFormer: Segmentation of Multiocular Biometric Traits With Transformers
SIPFormer: Segmentation of Multiocular Biometric Traits With Transformers Open
The advancements in machine vision have opened up new avenues for implementing multimodal biometric identification systems for real-world applications. These systems can address the shortcomings of unimodal biometric systems, which are sus…
View article: Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning Open
A major challenge in machine learning is resilience to out-of-distribution data, that is data that exists outside of the distribution of a model's training data. Training is often performed using limited, carefully curated datasets and so …
View article: Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models
Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models Open
Purpose: Visual perception enables robots to perceive the environment. Visual
\ndata is processed using computer vision algorithms that are usually
\ntime-expensive and require powerful devices to process the visual data in
\nreal-time, wh…
View article: Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection Open
In transportation networks, where traffic lights have traditionally been used for vehicle coordination, intersections act as natural bottlenecks. A formidable challenge for existing automated intersections lies in detecting and reasoning a…
View article: Telepresence Social Robotics towards Co-Presence: A Review
Telepresence Social Robotics towards Co-Presence: A Review Open
Telepresence robots are becoming popular in social interactions involving health care, elderly assistance, guidance, or office meetings. There are two types of human psychological experiences to consider in robot-mediated interactions: (1)…