4.6 Article

The Key Technologies of Road Elevation Detection Based on Sensor Fusion

Related references

Note: Only part of the references are listed.
Article Thermodynamics

Verisimilar research on the dust movement in the underground tunneling at the roadheader cutterhead dynamic rotation

Xin-xiao Lu et al.

Summary: The study demonstrates that the rotary cutterhead generates an additional airflow field, leading to dust sedimentation. Dust accumulation zones were found in the front cutterhead, hydraulic rod, and exhaust air duct. Increasing the rotary speed significantly reduces the dust concentration.

ENERGY (2022)

Article Computer Science, Artificial Intelligence

SaccadeFork: A lightweight multi-sensor fusion-based target detector

Zhenchao Ouyang et al.

Summary: The paper presents a novel multi-sensor fusion-based CNN model, SaccadeFork, which has efficient and accurate detection capabilities in self-driving applications. The model considers deployment of resource-limited edge devices and low-cost sensors in the vehicle, and adopts various improvement strategies to enhance performance.

INFORMATION FUSION (2022)

Article Energy & Fuels

Evaluation Methodology for Physical Radar Perception Sensor Models Based on On-Road Measurements for the Testing and Validation of Automated Driving

Zoltan Ferenc Magosi et al.

Summary: In recent years, the verification and validation processes of automated driving systems have shifted towards virtual simulation. This paper presents a practical process for evaluating sensor models based on low-level data.

ENERGIES (2022)

Article Green & Sustainable Science & Technology

Evaluation of Pavement Roughness by the International Roughness Index for Sustainable Pavement Construction in New Taipei City

Shong-Loong Chen et al.

Summary: This study analyzed the road quality in New Taipei City before and after the implementation of the Road Leveling Project. The results showed that the project had a significant effect on improving the road roughness and could help allocate budget for road improvement.

SUSTAINABILITY (2022)

Article Engineering, Civil

Real-time winter road surface condition monitoring using an improved residual CNN

Guangyuan Pan et al.

Summary: This paper presents a real-time solution for monitoring winter road surface conditions using images from fixed traffic and weather cameras. By customizing and fine-tuning deep neural networks, the best model is selected through thorough evaluation, with promising results shown by re-training the model using images from a mixed set of cameras.

CANADIAN JOURNAL OF CIVIL ENGINEERING (2021)

Article Medical Informatics

Localization in Wireless Sensor Networks for Accurate Event Detection

Amit Sharma et al.

Summary: The authors proposed a UNL method for sensor location estimation, which is based on RSSI and does not require extra hardware and communication among nodes. Experimental results show that the UNL method is simple with less computation and communication overhead.

INTERNATIONAL JOURNAL OF HEALTHCARE INFORMATION SYSTEMS AND INFORMATICS (2021)

Article Engineering, Mechanical

Synthesizing dual-track road elevation data

M. J. Lamb et al.

Summary: This research introduces a novel method for synthesizing dual-track longitudinal pavement elevation profiles, utilizing probability density functions to describe roughness variations and correlation between tracks. The study showed that variations in roughness can be well described by the Weibull probability distribution function, leading to a new roughness classification scheme for asphalt roads. This method allows for the emulation of real roads through the synthesis of parallel track elevation profiles.

PROBABILISTIC ENGINEERING MECHANICS (2021)

Article Chemistry, Analytical

Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter

Nabil Shaukat et al.

Summary: The study proposed a novel multi-sensor fusion algorithm for underwater vehicle localization that improves state estimation by combining the RBF neural network with ESKF. The RBF neural network is designed to compensate for the lack of ESKF performance by improving the innovation error term, with weights and centers optimized using steepest descent approach for minimizing MSE. The proposed RBF-augmented ESKF multi-sensor fusion outperformed the conventional ESKF in navigation and localization under high nonlinearity, modeling uncertainty, and external disturbances based on Monte Carlo simulations.

SENSORS (2021)

Article Engineering, Electrical & Electronic

Intelligent anti-epidemic mask based on KF and ECF fusion algorithm

Kun Xia et al.

Summary: This study proposes an optimized smart mask design, utilizing a double closed-loop control method and improved filtering fusion algorithm to obtain behavioral characteristics through data fusion. Experimental results demonstrate the upgraded and optimized mask structure, combining replaceable filter cloth, intelligent control system, and ultraviolet disinfection device, effectively protects people's health.

ELECTRONICS LETTERS (2021)

Article Computer Science, Information Systems

Satellite Navigation and Communication Integration Based on Correlation Domain Indefinite Pulse Position Modulation Signal

Deyue Zou et al.

Summary: The article introduces a new technology for Satellite Navigation and Communication Integration, which improves satellite data transmission rates by superimposing multiple sets of spread spectrum sequences on the data channel while maintaining the original GNSS positioning function. This technology offers advantages such as a unified signal system, high positioning accuracy, and high data transmission rates.

WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2021)

Article Engineering, Electrical & Electronic

Spatiotemporal Patterns of Land Surface Temperature Change in the Tibetan Plateau Based on MODIS/Terra Daily Product From 2000 to 2018

Mengjiao Yang et al.

Summary: Under the context of climate change, this study found a significant warming trend in land surface temperature on the Tibetan Plateau, with nighttime temperatures showing more pronounced changes and areas at elevations of 4500 to 5000 meters experiencing the strongest warming effect. Elevation was identified as the most important factor influencing the spatial distribution of LST.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

Article Public, Environmental & Occupational Health

A random parameters regional quantile analysis for the varying effect of road-level risk factors on crash rates

Jinjun Tang et al.

Summary: Many studies have focused on spatial variations in the effects of risk factors on the likelihood of crashes, with less attention paid to nonstationary effects on different quantiles of crash data distribution. The study proposes a conditional quantile-based Bayesian hierarchical random parameter Tobit model to investigate how road-related factors impact crash rates at different quantiles. Results show varying regression coefficients of risk factors among counties and quantile-based models outperform mean-based models in terms of prediction accuracy and goodness-of-fit.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Construction & Building Technology

Novel correlation to evaluate the pressure losses for different traffic jam conditions in road tunnel with alternative jet fan, second part

Marilena Musto et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)

Article Computer Science, Information Systems

Extended Classification Course Improves Road Intersection Detection from Low-Frequency GPS Trajectory Data

Banqiao Chen et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

Article Engineering, Mechanical

Prediction of cumulative surface location error at the contact zone of in-process workpiece and milling tool

Dongqian Wang et al.

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES (2020)

Proceedings Paper Computer Science, Interdisciplinary Applications

Lane Mark and Drivable Area Detection Using a Novel Instance Segmentation Scheme

Yu-Ching Chan et al.

2019 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) (2019)