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Clothoid: An Integrated Hierarchical Framework for Autonomous Driving in a Dynamic Urban Environment

Saba Arshad, Muhammad Sualeh, Dohyeong Kim, Dinh Van Nam, Gon-Woo Kim
2020 Sensors  
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

Tao Ruan, Dexing Wu, Tianyi Chen, Canghong Jin, Lei Xu, Shengli Zhou, Zhen Jiang
2020 IEEE Access  
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]

Di Feng, Christian Haase-Schuetz, Lars Rosenbaum, Heinz Hertlein, Claudius Glaeser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer
2020 arXiv   pre-print
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

Manzoor Ahmed Khan
2021 IEEE Access  
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

Per Sahlholm, Karl Henrik Johansson
2010 Control Engineering Practice  
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

Hoofar Shokravi, Hooman Shokravi, Norhisham Bakhary, Mahshid Heidarrezaei, Seyed Saeid Rahimian Koloor, Michal Petrů
2020 Sensors  
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

Abdul Mateen, Muhammad Zahid Hanif, Narayan Khatri, Sihyung Lee, Seung Yeob Nam
2022 Sensors  
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

Clemens Markus Hruschka, Daniel Topfer, Sebastian Zug
2019 2019 2nd International Conference on Intelligent Autonomous Systems (ICoIAS)  
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

M. Valera, S.A. Velastin
2005 IEE Proceedings - Vision Image and Signal Processing  
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)  
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

Kaya Kuru, Wasiq Khan
2020 IEEE Access  
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

Liping Ge, Malek Sarhani, Stefan Voß, Lin Xie
2021 Sustainability  
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

Nivi Kessler, James J. Schauer, Sharon Yagur-Kroll, Sahar Melamed, Ofir Tirosh, Shimshon Belkin, Yigal Erel
2012 Atmospheric Environment  
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


Hyun-Moo KOH, Jinkyo F. CHOO
2008 Doboku Gakkai Ronbunshuu A  
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


Hyun-Moo KOH, Jinkyo F. CHOO
2009 Structural engineering/ earthquake engineering  
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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