2022

Abolins V., Latash M. L. (2022). Unintentional force drifts as consequences of indirect force control with spatial referent coordinates. Neuroscience, 481, 156-165.Lasīt vairāk

Arents, J., Lesser, B., Bizuns, A., Kadikis, R., Buls, E., Greitans, M. (2022). Synthetic Data of Randomly Piled, Similar Objects for Deep Learning-Based Object Detection. In: Sclaroff, S., Distante, C., Leo, M., Farinella, G.M., Tombari, F. (eds) Image Analysis and Processing – ICIAP 2022. ICIAP 2022. Lecture Notes in Computer Science, vol 13232. Springer, Cham. https://doi.org/10.1007/978-3-031-06430-2_59Lasīt vairāk

Torres, P.; Arents, J.; Marques, H.; Marques, P. Bin-Picking Solution for Randomly Placed Automotive Connectors Based on Machine Learning Techniques. Electronics 2022, 11, 476. https://doi.org/10.3390/electronics11030476 Lasīt vairāk

Ivanovs, Maksims, Kaspars Ozols, Artis Dobrajs, and Roberts Kadikis. 2022. "Improving Semantic Segmentation of Urban Scenes for Self-Driving Cars with Synthetic Images" Sensors 22, no. 6: 2252. https://doi.org/10.3390/s22062252 Lasīt vairāk

Ahluwalia Vaibhav, Arents Janis, Oraby Aly, Greitans Modris Construction and benchmark of an autonomous tracked mobile robot system. Robotic Systems and Applications, Jan. 2022. (in Press). https://doi.org/10.21595/rsa.2022.22336Lasīt vairāk

Janis Arents, Modris Greitans. 2022.g. "Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing" Applied Sciences 12, no. 2: 937. https://doi.org/10.3390/app12020937 Lasīt vairāk

Sudars, Kaspars, Ivars Namatēvs, and Kaspars Ozols. 2022. "Improving Performance of the PRYSTINE Traffic Sign Classification by Using a Perturbation-Based Explainability Approach" Journal of Imaging 8, no. 2: 30. https://doi.org/10.3390/jimaging8020030Lasīt vairāk