Laboratorij za umjetnu percepciju i autonomne sustave

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14. veljače 2025.

Projekt ‘SmAIle’ – umjetna inteligencija u školama

U Zagrebu i Bedekovčini održane su radionice o umjetnoj inteligenciji u sklopu ERASMUS+ projekta SMAILE, na kojem Tehnički fakultet sudjeluje u ulozi partnera.

Članovi

Kontakt informacije

Voditelj prof. dr. sc. Kristijan Lenac
Lokacija 1-41
Adresa Laboratorij za umjetnu percepciju i autonomne sustave
Zavod za računarstvo
Tehnički fakultet
Zgrada tehničkog fakulteta
Vukovarska 58
51000 Rijeka

Dokumenti

Projekti

  • Scenarios and MOOCs for AI Literacy in Education, Erasmus+ (2024-1-HR01-KA220-SCH-000254267), 2024-
  • Provjerljiva raspodjeljena baza podataka za Web3 aplikacije, UNIRI Projekti iskusnih znanstvenika (uniri-iskusni-tehnic-23-261), 2023-
  • Razmještaj osjetila primjenom ojačanog učenja, UNIRI projekti mladih znanstvenika (uniri-mladi-tehnic-22-2), 2022-2024
  • Razvoj telemetrijskog sustava za nadgledanje autonomne prskalice, NOVAMINA centar inovativnih tehnologija d.o.o., 2021-2022
  • Testiranje i validacija sustava planiranja i izvršavanja misije praćenja trajektorije autonomne prskalice, NOVAMINA centar inovativnih tehnologija d.o.o., 2021
  • Razvoj sustava planiranja i izvršavanja misije praćenja trajektorija autonomne prskalice, NOVAMINA centar inovativnih tehnologija d.o.o., 2021
  • Ugradbeni sustavi za 3D percepciju, UNIRI Potpore (uniri-tehnic-18-295), 2018-2020
  • Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima, DATACROSS, European Regional Development Fund (KK.01.1.1.01.0009), 2017-2023

Publikacije

  • Banov, Marina; Pinčić, Domagoj; Lenac, Kristijan; Sušanj, Diego, Exploring Sensor Placement Optimization in Point Cloud-Derived Environment Models, IEEE Sensors Journal, 24 (2024), 16; doi: 10.1109/JSEN.2024.3424307
  • Banov, Marina; Pinčić, Domagoj; Lenac, Kristijan; Sušanj, Diego, A Novel Approach to Sensor Placement: Recursive Exhaustive Search and Stochastic Optimization Parameter Impact Analysis, Applied Sciences (Basel), 14 (2024), 7; 2786. doi: 10.3390/app14072786
  • Batistić, Luka; Sušanj, Diego; Pinčić, Domagoj; Ljubić, Sandi, Motor Imagery Classification Based on EEG Sensing with Visual and Vibrotactile Guidance,  Sensors, 23 (2023), 11; 5064, 21, doi: 10.3390/s23115064
  • Pinčić, Domagoj; Sušanj, Diego; Lenac, Kristijan, Gait Recognition with Self-Supervised Learning of Gait Features Based on Vision Transformers, Sensors, 22 (2022), 19; 7140, 16. doi: 10.3390/s22197140
  • Šimunić, Silvio; Bernaca, Dalen; Lenac, Kristijan, Verifiable Computing Applications in Blockchain, IEEE Access, 9 (2021), 156729-156745. doi: 10.1109/access.2021.3129314
  • Emeršič, Žiga; Sušanj, Diego; Meden, Blaž; Peer, Peter; Štruc, Vitomir, ContexedNet: Context–Aware Ear Detection in Unconstrained Settings, IEEE Access, 9 (2021), 145175-145190, doi: 10.1109/ACCESS.2021.3121792
  • Lenac, Kristijan; Cuzzocrea, Alfredo; Mumolo, Enzo, A Novel Genetic Scan-Matching-Based Registration Algorithm for Supporting Moving Objects Tracking Effectively and Efficiently, IEEE Access, 9 (2021), 91741-91753. doi: 10.1109/access.2021.3091520
  • Lenac, Kristijan; Filjar, Renato, Recurrence plot analysis of GPS ionospheric delay time series in extreme ionospheric conditions, Computers & geosciences, 147 (2021), 104613, 11. doi: 10.1016/j.cageo.2020.104613
  • Sušanj, Diego; Pinčić, Domagoj; Lenac, Kristijan, Effective Area Coverage of 2D and 3D Environments With Directional and Isotropic Sensors,  IEEE Access, 8 (2020), 185595-185608, doi: 10.1109/access.2020.3029618
  • Ramakić, Adnan; Sušanj, Diego; Lenac, Kristijan; Bundalo, Zlatko, Depth-Based Real-Time Gait Recognition, Journal of Circuits, Systems and Computers, 29 (2020), 16; doi: 10.1142/S0218126620502667
  • Lenac, Kristijan; Sušanj, Diego; Ramakić, Adnan; Pinčić, Domagoj, Extending Appearance Based Gait Recognition with Depth Data, Applied sciences (Basel), 9 (2019), 24; 5529, 19. doi: 10.3390/app9245529

Oprema

Zavod za računarstvo
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