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Joonatan Mänttäri
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Interpreting video features: A comparison of 3D convolutional networks and convolutional LSTM networks
J Manttari, S Broomé, J Folkesson, H Kjellstrom
Proceedings of the Asian Conference on Computer Vision, 2020
172020
Learning to predict lane changes in highway scenarios using dynamic filters on a generic traffic representation
J Mänttäri, J Folkesson, E Ward
2018 IEEE Intelligent Vehicles Symposium (IV), 1385-1392, 2018
132018
Incorporating uncertainty in predicting vehicle maneuvers at intersections with complex interactions
J Mänttäri, J Folkesson
2019 IEEE Intelligent Vehicles Symposium (IV), 2156-2163, 2019
42019
Interpretability in contact-rich manipulation via kinodynamic images
I Mitsioni, J Mänttäri, Y Karayiannidis, J Folkesson, D Kragic
2021 IEEE International Conference on Robotics and Automation (ICRA), 10175 …, 2021
32021
Interpretable Trajectory Prediction for TrafficScenes With High Levels of Interactions
J Mänttäri, J Folkesson
IEEE transactions on intelligent transportation systems (Print), 2021
12021
Interpretable, Interaction-Aware Vehicle Trajectory Prediction with Uncertainty
J Mänttäri
KTH Royal Institute of Technology, 2021
2021
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks Download PDF
S Broomé, J Mänttäri, J Folkesson, H Kjellstrom
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Articles 1–7