Tobias Gruber
Tobias Gruber
Verified email at daimler.com
TitleCited byYear
On deep learning-based channel decoding
T Gruber, S Cammerer, J Hoydis, S ten Brink
2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017
1572017
Scaling deep learning-based decoding of polar codes via partitioning
S Cammerer, T Gruber, J Hoydis, S ten Brink
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
652017
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
112018
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
102018
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
52019
Gated2Depth: Real-time Dense Lidar from Gated Images
T Gruber, F Julca-Aguilar, M Bijelic, W Ritter, K Dietmayer, F Heide
arXiv preprint arXiv:1902.04997, 2019
32019
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
Learning Super-resolved Depth from Active Gated Imaging
T Gruber, M Kokhova, W Ritter, N Haala, K Dictmayer
2018 21st International Conference on Intelligent Transportation Systems …, 2018
12018
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
T Gruber, M Bijelic, F Heide, W Ritter, K Dietmayer
arXiv preprint arXiv:1906.08953, 2019
2019
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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