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Set-Based Prediction of Pedestrians in Urban Environments Considering Formalized Traffic Rules

Markus Koschi, Christian Pek, Mona Beikirch, Matthias Althoff
2018 2018 21st International Conference on Intelligent Transportation Systems (ITSC)  
Set-based predictions can ensure the safety of planned motions, since they provide a bounded region which includes all possible future states of nondeterministic models of other traffic participants.  ...  This paper addresses this problem and presents an approach for set-based predictions of pedestrians using reachability analysis.  ...  ACKNOWLEDGMENTS The authors thank Sascha Steyer for the recordings of realworld data and Carmella Schürmann for the voice-over in the video attachment.  ... 
doi:10.1109/itsc.2018.8569434 dblp:conf/itsc/KoschiPBA18 fatcat:tsq2yexif5dxlbksjzqvb5s35q

On an attempt to explore challenges for Artificial Intelligence and Machine Learning in Indian Military and Defence Sector and Studying the Possible Inter-relationship amongst them using ISM Methodology

Mukesh Bansal, U. Dinesh, Remica Aggarwal, V. K.
2019 International Journal of Computer Applications  
They are subject to the package of challenges of being prone to high risks ; robustness and reliability crunch or absence of the required training to name a few.  ...  These breakthroughs have been optimally utilized in various military applications such as surveillance, reconnaissance , threat evaluation, underwater mine warfare, cyber security, intelligence analysis  ...  S.P Singh of DMS , IIT Delhi for teaching her ISM methodology .  ... 
doi:10.5120/ijca2019919695 fatcat:d7ybdjbfk5bklnl4p3lwn76g3m

Intelligent Systems for Detection and Control Damage on Buried Infrastructure due to Soil Subsidence

Silvia García
2020 Civil Engineering Research Journal  
Evaluate these aspects permits study future pumping scenarios to assist in selecting an optimal rate of extraction that minimizes overall subsidence, meet the requirements of city development plan and  ...  of the pumping of the aquifers, simulation of catastrophic scenarios for the reintegration of the inhabitants in sites with better capacities to hold communities.  ...  (Remotely Piloted Aircraft System) [5] of the position (on two orthogonal axes) of strategic points in areas with high vulnerability to sinking or cracking.  ... 
doi:10.19080/cerj.2019.09.555771 fatcat:kqcfo23j6vbxxo2onb2rfunxca

Online Verification Enabling Approval of Driving Functions—Implementation for a Planner of an Autonomous Race Vehicle

Tim Stahl, Frank Diermeyer
2021 IEEE Open Journal of Intelligent Transportation Systems  
To evaluate safety with respect to dynamic objects in a semi-structured and highly dynamic racing environment, rule-based reachable sets are presented.  ...  As a result, the pure reachable set is further constrained by applicable regulations.  ...  He gave final approval of the version to be published and agrees to all aspects of the work. As guarantor, he accepts responsibility for the overall integrity of the paper.  ... 
doi:10.1109/ojits.2021.3078121 fatcat:s4g3c7wa6bch5lm4cm2bal5cdq

Challenges for cooperative ITS: Improving road safety through the integration of wireless communications, control, and positioning

Henk Wymeersch, Gabriel Rodrigues de Campos, Paolo Falcone, Lennart Svensson, Erik G. Strom
2015 2015 International Conference on Computing, Networking and Communications (ICNC)  
This paper presents a possible evolution of these three disciplines within the context of ITS, as well as several challenges and opportunities.  ...  For intelligent transportation systems (ITS) to achieve situational awareness beyond their sensing horizon and to harness coordination capabilities, some form of cooperation will be required.  ...  ITS can aid in reducing these numbers and improving safety of vulnerable road users such as pedestrians, cyclists, and motorcyclists.  ... 
doi:10.1109/iccnc.2015.7069408 dblp:conf/iccnc/WymeerschCFSS15 fatcat:4eri47u7wbhuzmyq7smrc6qkoi

Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios [article]

Bruno Brito, Achin Agarwal, Javier Alonso-Mora
2021 arXiv   pre-print
This paper presents a novel framework for interaction-aware motion planning in dense traffic scenarios.  ...  The presented results demonstrate that our method significantly reduces the number of collisions and increases the success rate with respect to both learning-based and optimization-based baselines.  ...  ' motion plans.  ... 
arXiv:2107.04538v1 fatcat:j7iuudg3ufey7pxwoz43np2hry

Scanning the Issue

Petros Ioannou
2017 IEEE transactions on intelligent transportation systems (Print)  
The authors exhaustively evaluated the performance of six classifiers in various data sets, most of them resembling actual data sets used in similar projects.  ...  Miller Vehicles are currently being developed and sold with increasing levels of connectivity and automation.  ...  By incorporating both the vessel's waterway pattern and motion behavior knowledge, their solution suggests a set of probable coordinates with the corresponding probability as the forecasting output.  ... 
doi:10.1109/tits.2017.2761518 fatcat:v3psiws5unerpnj5itc2ibv7zy

Employing Severity of Injury to Contextualize Complex Risk Mitigation Scenarios

Luiz Alberto Serafim Guardini, Anne Spalanzani, Christian Laugier, Philippe Martinet, Anh-Lam Do, Thierry Hermitte
2020 2020 IEEE Intelligent Vehicles Symposium (IV)  
The method generates a cost map containing a collision probability along with to the risk of injury.  ...  Each class of object presents an injury probability with respect to the impact speed and ethical/economical/political factors.  ...  We thank the LAB (Laboratoire dAccidentologie, de Biomcanique et du comportement du conducteur) for providing the risk of injury curves issued from their accident data analysis.  ... 
doi:10.1109/iv47402.2020.9304543 fatcat:j7z6wxlwkrb5tm5v6wdzwaqziy

Why Is Internet of Autonomous Vehicles Not As Plug And Play As We Think? Lessons To Be Learnt From Present Internet and Future Directions

Sameer Qazi, Farah Sabir, Bilal A. Khawaja, Syed Muhammad Atif, Muhammad Mustaqim
2020 IEEE Access  
With the advent of the latest technology fueled by Artificial Intelligence and Machine Learning, Autonomous Vehicles (AVs) can now determine the best possible route to a destination based on the current  ...  INDEX TERMS Internet of Autonomous Vehicles, network-centric services, user-centric services, vehicular ad-hoc networks (VANETs), wireless communications. ACRONYMS (See table 1.  ...  is reachable with a new cost.  ... 
doi:10.1109/access.2020.3009336 fatcat:djvcl3endvchhg5m4bwqr3zxme

AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control [article]

Cristofer Englund and Eren Erdal Aksoy and Fernando Alonso-Fernandez and Martin Daniel Cooney and Sepideh Pashami and Bjorn Astrand
2021 arXiv   pre-print
This paper describes AI perspectives in SCC and gives an overview of AI-based technologies used in traffic to enable road vehicle automation and smart traffic control.  ...  Information and communication technology along with internet of things enables data collection and with the help of artificial intelligence (AI) situation awareness can be obtained to feed the SCC actors  ...  Although fatalities have decreased for motorists in most countries, this is not the case for vulnerable road users (VRUs), (Niska and Eriksson, 2013) including pedestrians, bicyclists and moped riders  ... 
arXiv:2104.03150v2 fatcat:ynusdumm6vfzzha3ofhmih7u4m

AI Perspectives in Smart Cities and Communities to Enable Road Vehicle Automation and Smart Traffic Control

Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Björn Åstrand
2021 Smart Cities  
This paper describes AI perspectives in SCC and gives an overview of AI-based technologies used in traffic to enable road vehicle automation and smart traffic control.  ...  Information and communication technology along with Internet of Things enables data collection and with the help of artificial intelligence (AI) situation awareness can be obtained to feed the SCC actors  ...  Although fatalities have decreased for motorists in most countries, this is not the case for vulnerable road users (VRUs) [17] including pedestrians, bicyclists, and moped riders.  ... 
doi:10.3390/smartcities4020040 fatcat:nzq4vw7w3zdvxivbklnftec33y

Human Motion Trajectory Prediction: A Survey [article]

Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai O. Arras
2019 arXiv   pre-print
This paper provides a survey of human motion trajectory prediction.  ...  With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand and anticipate human behavior becomes increasingly important.  ...  , especially towards vulnerable road users (i.e. pedestrians and cyclists).  ... 
arXiv:1905.06113v3 fatcat:cnomix2fs5gqvb6ormldgti2bm

Use Of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An In-Depth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems

Ioannis Vourgidis, Leandros Maglaras, Ahmed S. Alfakeeh, Ali H. Al-Bayatti, Mohamed Amine Ferrag
2020 Sensors  
Moreover, an extensive literature review has been carried out in the fields of vulnerable road users outdoor localisation via smartphones and vulnerable road users next step/movement prediction, which  ...  road users' smartphones.  ...  The increasing use of smartphones sets them as one of network scenario, vehicles and vulnerable road users can exchange information such as position, accidents from traffic accidents by 2020 [2].  ... 
doi:10.3390/s20040997 pmid:32069811 pmcid:PMC7070968 fatcat:nkwyrqlx4jaa5ahwbu2jt3qcbe

Speeding up deep neural network-based planning of local car maneuvers via efficient B-spline path construction [article]

Piotr Kicki, Piotr Skrzypczyński
2022 arXiv   pre-print
inference and training of a DNN-based motion planner.  ...  This paper demonstrates how an efficient representation of the planned path using B-splines, and a construction procedure that takes advantage of the neural network's inductive bias, speed up both the  ...  Visualizations of the reachable sets (presented as heatmaps: darker areas are reachable with greater orientations ranges) and sample paths generated by the proposed B-spline neural network motion planner  ... 
arXiv:2203.06963v1 fatcat:yypaliaek5hdxauqrtrgqwtz6q

Uncertainty estimation of pedestrian future trajectory using Bayesian approximation [article]

Anshul Nayak, Azim Eskandarian, Zachary Doerzaph
2022 arXiv   pre-print
Rather, estimating the uncertainty associated with the predicted states with a certain level of confidence can lead to robust path planning.  ...  The results indicate that the mean predicted path of probabilistic models was closer to the ground truth when compared with the deterministic prediction.  ...  Especially, complex maneuvers require a trustworthy estimate of future states of vulnerable road users (VRUs) like pedestrians and bicyclists [3] .  ... 
arXiv:2205.01887v1 fatcat:oxmciurnvjholipuzjh7q3jngm
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