Mario Bijelic
Mario Bijelic
Phd Student at Daimler AG/University Ulm
Verified email at daimler.com - Homepage
Title
Cited by
Cited by
Year
A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?
M Bijelic, T Gruber, W Ritter
2018 IEEE Intelligent Vehicles Symposium (IV), 760-767, 2018
232018
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving
M Bijelic, T Gruber, W Ritter
2018 IEEE Intelligent Vehicles Symposium (IV), 1773-1779, 2018
162018
Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data
M Bijelic, F Mannan, T Gruber, W Ritter, K Dietmayer, F Heide
arXiv preprint arXiv:1902.08913, 2019
132019
Suppression of topological Mott-Hubbard phases by multiple charge orders in the honeycomb extended Hubbard model
M Bijelic, R Kaneko, C Gros, R Valentí
Physical Review B 97 (12), 125142, 2018
82018
Gated2depth: Real-time dense lidar from gated images
T Gruber, F Julca-Aguilar, M Bijelic, F Heide
Proceedings of the IEEE International Conference on Computer Vision, 1506-1516, 2019
52019
Robustness Against Unknown Noise for Raw Data Fusing Neural Networks
M Bijelic, C Muench, W Ritter, Y Kalnishkan, K Dietmayer
2018 21st International Conference on Intelligent Transportation Systems …, 2018
42018
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
T Gruber, M Bijelic, F Heide, W Ritter, K Dietmayer
2019 International Conference on 3D Vision (3DV), 95-105, 2019
22019
Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog
M Bijelic, P Kysela, T Gruber, W Ritter, K Dietmayer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
12019
DENSE: Environment Perception in Bad Weather—First Results
W Ritter, M Bijelic, T Gruber, M Kutila, H Holzhüter
Electronic Components and Systems for Automotive Applications, 143-159, 2019
2019
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