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Set-Based Prediction of Pedestrians in Urban Environments Considering Formalized Traffic Rules
2018
2018 21st International Conference on Intelligent Transportation Systems (ITSC)
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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
2019
International Journal of Computer Applications
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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
2020
Civil Engineering Research Journal
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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
2021
IEEE Open Journal of Intelligent Transportation Systems
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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
2015
2015 International Conference on Computing, Networking and Communications (ICNC)
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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]
2021
arXiv
pre-print
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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
2017
IEEE transactions on intelligent transportation systems (Print)
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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
2020
2020 IEEE Intelligent Vehicles Symposium (IV)
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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
2020
IEEE Access
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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]
2021
arXiv
pre-print
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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
2021
Smart Cities
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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]
2019
arXiv
pre-print
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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
2020
Sensors
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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]
2022
arXiv
pre-print
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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]
2022
arXiv
pre-print
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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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