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Clothoid: An Integrated Hierarchical Framework for Autonomous Driving in a Dynamic Urban Environment
2020
Sensors
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One of the major reasons is the increase in urbanization and mobility demands. The autonomous vehicle is expected to increase road safety while reducing road accidents that occur due to human errors. ...
the safety, comfort, and scalability in the real traffic environment. ...
Figure 15 . 15 Temporary road blockage on the global path.
Figure 15 . 15 Temporary road blockage on the global path. ...
doi:10.3390/s20185053
pmid:32899543
pmcid:PMC7570716
fatcat:xa5dhrmg5vdjbmgb4shlhovcvm
Context-Aware Traffic Prediction Framework Based on Series Decomposition
2020
IEEE Access
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The methods based on CNN are deemed more capable of capturing spatial dependencies. ...
A hybrid comprising a fuzzy neural network (EFNN) and a Gaussian fuzzy membership function was introduced to predict the traffic speed [6] . ...
doi:10.1109/access.2020.3036652
fatcat:xwklybb7ovcpxewxwwaxmgb2sa
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
[article]
2020
arXiv
pre-print
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To this end, we first provide an overview of on-board sensors on test vehicles, open datasets, and background information for object detection and semantic segmentation in autonomous driving research. ...
We then summarize the fusion methodologies and discuss challenges and open questions. In the appendix, we provide tables that summarize topics and methods. ...
ACKNOWLEDGMENT We thank Fabian Duffhauss for collecting literature and reviewing the paper. ...
arXiv:1902.07830v4
fatcat:or6enjxktnamdmh2yekejjr4re
Intelligent Environment enabling Autonomous Driving
2021
IEEE Access
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We demonstrate an artificial intelligence based approach for the analysis of real traffic data measured on the testbed. ...
For the experiments, real data from the test-road is used. Results show that traffic patterns and resource demands are predicted accurately. ...
SD-WAN, tunnelling, and hybrid cloud management and orchestration.
E. CLOUD INFRASTRUCTURE SPECIFICATION The cloud infrastructure consists of a data center and a far edge. ...
doi:10.1109/access.2021.3059652
fatcat:pg5sjgfbqrcdrnazhgfitc2m7m
Road grade estimation for look-ahead vehicle control using multiple measurement runs
2010
Control Engineering Practice
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This paper presents a road grade estimation algorithm for creation of such maps based on Kalman filter fusion of vehicle sensor data and GPS positioning information. ...
The obtained final grade estimate compares favorably to one acquired from a specialized road grade measurement vehicle with a DGPS receiver and inertial measurement unit, with an average root mean square ...
Acknowledgments This work is partially supported by Scania CV AB, the Swedish Program Board for Automotive Research (IVSS), the European Commission through the Network of Excellence HYCON, and the Swedish ...
doi:10.1016/j.conengprac.2009.09.007
fatcat:s6acubh6z5h4ja3uubf6y5bggy
A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques
2020
Sensors
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The existing VC methods generally have a local nature and can classify the vehicles if the target vehicle passes through fixed sensors, passes through the short-range coverage monitoring area, or a hybrid ...
Vehicle classification (VC) is an underlying approach in an intelligent transportation system and is widely used in various applications like the monitoring of traffic flow, automated parking systems, ...
Intrusive sensors are typically installed in holes on the road surface, by tunneling under the road surfaces or anchoring to the surface of the road [99] . ...
doi:10.3390/s20113274
pmid:32521806
pmcid:PMC7309154
fatcat:gij3xqj7vbellcsjo6mmmotsba
Smart Roads for Autonomous Accident Detection and Warnings
2022
Sensors
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Detecting humans or animals would undoubtedly provide us with a better answer for reducing human fatalities in traffic accidents. ...
This study is based on different sensors that are used to build SRs to detect accidents. ...
The fuzzy rules are based on data learning in real time and on traffic rules. ...
doi:10.3390/s22062077
pmid:35336248
pmcid:PMC8953218
fatcat:lzvj4pvzunbvxec4sz22kvkvhu
Risk Assessment for Integral Safety in Automated Driving
2019
2019 2nd International Conference on Intelligent Autonomous Systems (ICoIAS)
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Predicting the risk preventively increase the safety for future mobility and thus takes the "Vision Zero" one step further. ...
Further, I take a great benefit from emboldening me in participating several international conferences and presenting interim results of my thesis. ...
The latter includes a reduced simulation environment, a software in the loop simulation for the driving function (sec. 6.3) , test drives on the testing ground (sec. 6.3) , fleet data of real road traffic ...
doi:10.1109/icoias.2019.00025
fatcat:hqmq5h6erne2bg5pnqskfqp4v4
Intelligent distributed surveillance systems: a review
2005
IEE Proceedings - Vision Image and Signal Processing
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The emphasis of this review is on discussion of the creation of intelligent distributed automated surveillance systems. The survey concludes with a discussion of possible future directions. ...
The increasing need for intelligent visual surveillance in commercial, law enforcement and military applications makes automated visual surveillance systems one of the main current application domains ...
The system architecture is based on three main modules using a client=server approach as solution for the distribution. The three modules are sensor control, data fusion and image processing. ...
doi:10.1049/ip-vis:20041147
fatcat:escl2qb3xjbzdb4s2wrqctuxau
Conference Guide [Front matter]
2020
2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)
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In this paper, we propose a framework for 6D pose estimation from RGB-D data based on spatial structure characteristics of 3D keypoints. ...
This approach is based on the contrastive predictive learning (CPL) method. ...
In this paper we investigate the resilient consensus problem for multi-agent systems under the specific attack scenarios where the attacker can eavesdrop on initial information of agents among the system ...
doi:10.1109/icarcv50220.2020.9305477
fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi
A framework for the synergistic integration of fully autonomous ground vehicles with smart city
2020
IEEE Access
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Based on FAGVinSCF, a simulation platform is built both to model the varying penetration levels of FAGV into mixed traffic and to perform the optimal self-driving behaviours of FAGV swarms. ...
The integration of FAGVs with SC helps improve the sustainability of a city and the functional and efficient deployment of hand over wheels on robotized city roads with behaviour coordination. ...
with high rising buildings and tunnels, where data link loss along with missing map data is a possibility [8] . ...
doi:10.1109/access.2020.3046999
fatcat:35mrkvnj4bgtzarnsl2ctgsx3u
Review of Transit Data Sources: Potentials, Challenges and Complementarity
2021
Sustainability
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Indeed, the availability of data from different sources, coupled with advances in analytical and predictive approaches, has contributed to increased attention being paid to the exploitation of available ...
Specifically, we seek to bridge the gap between traditional data sources and recent ones, present a unified overview of them and show how they can all leverage recent advances in data-driven methods and ...
[130] propose a hybridization of deep learning and a spatio-temporal approach which, according to the authors, provide a more accurate prediction. One of the problems for traffic data is privacy. ...
doi:10.3390/su132011450
fatcat:wtv4sf4utzhcldjaqgdazotbje
A bacterial bioreporter panel to assay the cytotoxicity of atmospheric particulate matter
2012
Atmospheric Environment
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A total of 386 measurement data sets were used to construct the predictive mass extinction coefficients for the sizeresolved particles using regression analysis. ...
Utilizing PM10 emission inventory as an example, a group of regression models for various industrial and non-industrial sectors were developed based on an emission case study of Handan region in northern ...
Temporal Stability of Land Use Regression Models for Traffic-Related Air Pollution
Michael Brauer Background: Land-use regression (LUR) is a cost-effective approach for predicting spatial variability ...
doi:10.1016/j.atmosenv.2012.09.048
fatcat:io4k5yahovcgvgzpnrxd6mynym
PREPARATION FOR THE NEXT GENERATION OF BRIDGE TECHNOLOGY IN KOREA
2008
Doboku Gakkai Ronbunshuu A
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transportation network and set the bases for the future strategic hub of Northeast Asia. ...
specifications or standards in a lifetime perspective. ...
The new road network, which comprises 2 cable-stayed bridges (222 + 475 + 222 and 108 + 2@230 + 108) with H-shape towers and the first Korean immersed traffic tunnel (3.7 km), at a depth of 40 to 50 m, ...
doi:10.2208/jsceja.64.653
fatcat:qmvwkqbklnhrlojvnb5ipgxmri
PREPARATION FOR THE NEXT GENERATION OF BRIDGE TECHNOLOGY IN KOREA
2009
Structural engineering/ earthquake engineering
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transportation network and set the bases for the future strategic hub of Northeast Asia. ...
specifications or standards in a lifetime perspective. ...
The new road network, which comprises 2 cable-stayed bridges (222 + 475 + 222 and 108 + 2@230 + 108) with H-shape towers and the first Korean immersed traffic tunnel (3.7 km), at a depth of 40 to 50 m, ...
doi:10.2208/jsceseee.26.1s
fatcat:syvcjzyb2bbwtg62lmosxsia5q
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