Search
Search Results
-
Multi-sensor Fusion for Autonomous Driving
Although sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the...
-
Sensor Fusion and Pontryagin Duality
Boltzmann Machine (BM) and Brooks–Iyengar (BI) algorithm are solving similar problems in sensor fusion. Relationships between these two are...
-
Late sensor fusion approach with a designed multi-segmentation network
Sensors have different perceptive abilities against environment. Sensor fusion plays a crucial role at achieving better perception by accumulating...
-
Machine learning-based multi-sensor fusion for warehouse robot in GPS-denied environment
Mobile robots have been widely used in warehouse applications because of their ability to move and handle heavy loads. This study deals with sensor...
-
Additional Sensors and Sensor Fusion
This chapter explains how to add lidar-based odometry generated by laser scan matching, and add an inertial measurement unit (IMU) sensor. It also...
-
Multi-sensor fusion for real-time object tracking
Accurate orientation and position estimation are critical elements in optimizing real-time object tracking performance when leveraging smartphone...
-
Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion
Multi-modal depth estimation is one of the key challenges for endowing autonomous machines with robust robotic perception capabilities. There have...
-
A tree-based approach for visible and thermal sensor fusion in winter autonomous driving
Research on autonomous vehicles has been at a peak recently. One of the most researched aspects is the performance degradation of sensors in harsh...
-
A new multi-sensor fire detection method based on LSTM networks with environmental information fusion
Multi-sensor fire detection has been widely used, which allows monitoring multiple environmental indicators. However, most multi-sensor detection...
-
Visual perception system design for rock breaking robot based on multi-sensor fusion
In recent years, mining automation has received significant attention as a critical focus area. Rock breaking robots are commonly used equipment in...
-
A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments
This paper presents a multi-sensor feature fusion (MSFF) neural network comprised of two inception layer-type multiple channel feature fusion (MCFF)...
-
3D object detection algorithm based on multi-sensor segmental fusion of frustum association for autonomous driving
The rotation characteristics of point clouds are challenging to capture in current multimodal fusion methods for 3D object detection. A single fusion...
-
ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter
Despite the success of ensemble classification methods in multi-class classification problems, ensemble methods based on approaches other than...
-
Multi-sensor based object tracking using enhanced particle swarm optimized multi-cue granular fusion
In the discipline of computer vision, object tracking is one of the progressive and prominent areas of research with its application in the field of...
-
An effective conflict management method based on belief similarity measure and entropy for multi-sensor data fusion
Multi-sensor data fusion has received substantial attention thanks to its ability to integrate information from distinct sources efficiently....
-
Cross-domain fusion in smart seafloor sensor networks
Many of the socio-economic and environmental challenges of the 21st century like the growing energy and food demand, rising sea levels and...
-
A belief interval euclidean distance entropy of the mass function and its application in multi-sensor data fusion
Dempster-Shafer (D-S) evidence theory has extensive applications in the field of data fusion. It uses the mass function to replace the probability...
-
Intelligent control method of main road traffic flow based on multi-sensor information fusion
In the process of collecting traffic information, traditional traffic flow control methods have some problems, such as high loss rate of sensing and...
-
Learning Online Multi-sensor Depth Fusion
Many hand-held or mixed reality devices are used with a single sensor for 3D reconstruction, although they often comprise multiple sensors....
-
A sco** review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion
Rotating machines is an essential part of any manufacturing industry. The sudden breakdown of such machines due to improper maintenance can also lead...
