A Contemporary Survey on Multisource Information Fusion for Smart Sustainable Cities: Emerging Trends and Persistent Challenges
The emergence of smart sustainable cities has unveiled a wealth of data sources, each
contributing to a vast array of urban applications. At the heart of managing this plethora of …
contributing to a vast array of urban applications. At the heart of managing this plethora of …
Fully automated dcnn-based thermal images annotation using neural network pretrained on rgb data
One of the biggest challenges of training deep neural network is the need for massive data
annotation. To train the neural network for object detection, millions of annotated training …
annotation. To train the neural network for object detection, millions of annotated training …
Audric2: A modular and highly interconnected automated driving framework focus on decision making and vehicle control
Last years, automated vehicle technologies made considerable progress in academia and
the industry. However, there is still a need for more scalable solutions which ensure fast …
the industry. However, there is still a need for more scalable solutions which ensure fast …
[HTML][HTML] Brno urban dataset: Winter extension
This paper presents our latest extension of the Brno Urban Dataset (BUD), the Winter
Extension (WE). The dataset contains data from commonly used sensors in the automotive …
Extension (WE). The dataset contains data from commonly used sensors in the automotive …
Atlas Fusion 2.0 A ROS2 Based Real-Time Sensor Fusion Framework
S Svědiroh, L Žalud - … Conference on Modelling and Simulation for …, 2023 - Springer
In this paper, we present a novel, easy-to-use ROS2-based real-time sensor fusion
framework capable of making high-level detections from raw sensor data provided by their …
framework capable of making high-level detections from raw sensor data provided by their …
Human Detection in the Depth Map Created from Point Cloud Data
This paper deals with human detection in the LiDAR data using the YOLO object detection
neural network architecture. RGB-based object detection is the most studied topic in the field …
neural network architecture. RGB-based object detection is the most studied topic in the field …