Artificial Intelligence for Logistic Program Conference: May 17th - 18th 2023, Ottawa, Canada: abstract booklet

From National Research Council Canada

Alternative titleConférence du Programme « L’Intelligence artificielle au service de la logistique » : 17 – 18 mai 2023, Ottawa, Canada: livret de résumés
PDF3.4 MiB
LinkArtificial Intelligence for Logistics program
Programme Intelligence artificielle au service de la logistique
DOIResolve DOI:
EditorSearch for: National Research Council of Canada
FormatText, Proceedings
Subjectadaptive instructional system; advanced driver assistance systems; aerial autonomy dataset; aerial manipulation systems; aerial robotics; aerial robots haptics; aerial-semantic-segmentation; AI; adversarial machine learning; ant colony optimization; advanced persistent threats; artificial intelligence; augmentation; augmented reality; blockchain; chaos-engineering; classification; climate change; convolution neural networks; combinatorial optimization; computer vision; concrete defect detection; consensus protocols; continuous; continuum; crash reliability modelling; crashes; cross-calibration; crowd shipping; data-acquisition; deep-learning; deep-reinforcement-learning; deformation detection; detect & avoid; detection; distributed fiber optic sensors; digital twin; domain adaptation; drayage operations; drone localization; dynamics; extreme-weather; feature tracking; fingerprinting; firefighter training dangerous-goods; federated learning; freight; fusion; gaze; gaze-tracker; genetic-programming; geographic information system; grain; graphs; haptics; hazards; hyperdimensional computing; intrusion detection systems; inspection; instability; instrumentation; intentionality; Internet of things; Internet of vehicules; intelligent transportation systems; landing zone detection; last mile; logistics; long short term memory; long-term pavement performance; machine learning; malware; manipulation; meta-heuristic; multi-layer perceptron; modelling; monitoring; multi-trip time-dependent vehicle routing problem; multi-agent; network; neural representation; novelty detection; object detection; origin destination; path optimization LTE surveying; pavement; pavement instrumentation; photogrammetry; place recognition; proof of delivery; portable; prediction; privacy preserving; profiling; provenance; quadrotor; rail; railway; random walk; real option analysis; real-time monitoring; regression; reinforcement learning; reputation; resilient; resilience; response; robotics; route recommendation system; routing; road weather information system; safety; sea ice; segmentation; semantic; sensors; sequence-to-sequence; slave geological province; similarity; simulation; simultaneous localization and mapping; safe landing zones; social media; soil temperature; spatial semantic pointers; statistical learning; stereo; strain; stress; supervised learning; synthetic data; teleoperation; temperature; time series classification; traffic; truck; truck traffic prediction; trucking; photogrammetry; unmanned aircraft system; unmanned aircraft vehicle; unsupervised-adversarial-domain-adaptation; vehicle routing problem; view-planning; visual inertial navigation systems; vision; volume; vertical take-off and landing; 3D-reconstruction; ACO; ADAS; AL; AML; APT; AR; CNN; DFOS; DRL; FL; GIS; IDS; IoT; IoV; ITS; LSTM; LTPP; ML; MLP; MTTDVRP; POD; RWIS; SGP; Sim2real; SLAM; SLZ; SSPs; UAS; UAV; VINS; VRP; VTOL
Publication date
PublisherNational Research Council of of Canada
Peer reviewedNo
NRC numberNR16-424/2023E-PDF
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Record identifierb38fa4bd-7344-4440-8292-b9e486915b49
Record created2023-07-13
Record modified2024-03-25
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