Publications

Scientific Publications

Here we list all the published scientific publications in the context of the DENSE project.

 

2017

 

Jukka Viheriälä, Antti T. Aho, Heikki Virtanen, Sanna Ranta, Mihail Dumitrescu, Mircea Guina: High-Power 1550 nm DBR Laser Diodes for LIDAR Applications. In: Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (2017), Munich.  urn.fi/URN:NBN:fi:tuni-201912207077

Jukka Viheriälä, Antti T. Aho., Heikki Virtanen, Mervi Koskinen, Michael Dumitrescu, Mircea Guina: 1180 nm GaInNAs quantum well based high power DBR laser diodes. In: MS Zediker (ed.), High-Power Diode Laser Technology XV., 100860K, Proceedings of SPIE, vol. 10086, SPIE, SPIE Photonics West. urn.fi/URN:NBN:fi:tuni-201912197004

 

2018

 

 

Piewak F. et al.: Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation. In: Leal-Taixé L., Roth S. (eds) Computer Vision – ECCV 2018 Workshops. ECCV 2018. Lecture Notes in Computer Science, vol 11134. Springer, Cham. https://arxiv.org/abs/1804.09915

M. Bijelic, T. Gruber, W. Ritter: A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down? In: IEEE Intelligent Vehicles Symposium (IV). https://arxiv.org/abs/1912.03251

M. Bijelic, T. Gruber, W. Ritter: Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving. In: IEEE Intelligent Vehicles Symposium (IV). https://arxiv.org/pdf/1912.03238

N. Scheiner, N. Appenrodt, J. Dickmann, and B. Sick: Radar-based Feature Design and Multiclass Classification for Road User Recognition. In: Proceedings of IEEE Intelligent Vehicles Symposium (IV), Changshu, China, June 2018, pp. 779-786. https://arxiv.org/abs/1905.11256

M. Bijelic, C. Munch und et al.: Robustness Against Unknown Noise for Raw Data Fusing Neural Networks. In: IEEE International Conference on Intelligent Transportation Systems (ITSC). https://pure.royalholloway.ac.uk/portal/files/31291311/ITSC18_0485_FI.pdf

T. Gruber, M. Kokhova, W. Ritter, N. Haala, K. Dietmayer: Learning super-resolved Depth from Active Gated Imaging. In: IEEE International Conference on Intelligent Transportation Systems (ITSC). https://arxiv.org/abs/1912.02889

 

2019

 

N. Scheiner, N. Appenrodt, J. Dickmann, B. Sick: Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS. In: Proceedings of IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), Detroit, MI, USA, pp. 5-9. https://arxiv.org/abs/1905.11219

N. Scheiner, N. Appenrodt, J. Dickmann, B. Sick: Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles. In: Proceedings of IEEE Intelligent Vehicles Symposium (IV), Paris, France. https://arxiv.org/abs/1905.11703

Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche, Bernhard Sick: Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices. In: Proceedings of 20th International Radar Symposium (IRS), Ulm, Germany. https://arxiv.org/abs/1905.11987

Andreas Pfeuffer, Klaus Dietmayer: Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion. In: 22st International Conference on Information Fusion (FUSION). https://arxiv.org/abs/1905.10117

Gruber, T., Bijelic, M., Heide, F., Ritter, W., Dietmayer, K.: Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios. In: 2019 International Conference on 3D Vision (3DV). arxiv.org/abs/1906.08953

Maria Jokela, Matti Kutila, Pasi Pyykönen: Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions. In: Appl. Sci. 2019 , 9 , 2341. https://www.mdpi.com/2076-3417/9/11/2341

Andreas Pfeuffer, Klaus Dietmayer: Separable Convolutional LSTMs for Faster Video Segmentation. In: IEEE Intelligent Transportation Systems Conference (ITSC) , pp 1072 - 1078. https://arxiv.org/pdf/1907.06876.pdf

N. Scheiner, N. Appenrodt, J.Dickmann, B. Sick: A Multi-Stage Clustering Framework for Automotive Radar Data. In: IEEE 22nd Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand. arxiv.org/abs/1907.03511

Maria Jokela, Pasi Pyykonen, Matti Kutila, Kimmo Kauvo: Automotive LiDAR Performance Benchmarking in Arctic Conditions. In: IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania. https://cris.vtt.fi/en/publications/lidar-performance-review-in-arctic-conditions

Colomb, M., Duthon, P., Bernardin, F.: Spectral reflectance characterization of the road environment to optimize the choice of autonomous vehicle sensors. In: IEEE Intelligent Transportation Systems Conference - ITSC, Oct 2019, Auckland, New Zealand. pp.1085-1090, hal.archives-ouvertes.fr/hal-02571657

Kraus, F., Dietmayer, K.: Uncertainty Estimation in One-Stage Object Detection. In: IEEE Intelligent Transportation Systems Conference (ITSC), pp. 53-60. arxiv.org/abs/1905.10296

Ritter W., Bijelic M., Gruber T., Kutila M., Holzhüter H.: DENSE: Environment Perception in Bad Weather—First Results. In: Langheim J. (eds) Electronic Components and Systems for Automotive Applications. Lecture Notes in Mobility. Springer, Cham, pp 143-159. DOI: 10.1007/978-3-030-14156-1_12

Gruber, T., Julca-Aguilar, F., Bijelic, M., Ritter, W., Dietmayer, K., Heide, F.: Gated2Depth: Real-time Dense Lidar from Gated Images. In: International Conference on Computer Vision (ICCV), Seoul, Korea. arxiv.org/abs/1902.04997

Duthon, P.; Colomb, M.; Bernardin, F.: Light Transmission in Fog: The Influence of Wavelength on the Extinction Coefficient. In: Appl. Sci. 2019, 9 , 2843. https://www.mdpi.com/2076-3417/9/14/2843

 

2020

 

Aho, A., Viheriälä, J., Virtanen, H., Uusitalo, T., Koskinen, M., Reuna, J., Guina, M.: High peak power laser diodes at 1.5 um with integrated wavelength locking element. In: SPIE Photonics West conference, San Francisco, USA.

Kutila, M., Pyykönen, P., Jokela, M., Gruber, T., Bijelic, M., Ritter, W.: Benchmarking Automotive LiDAR Performance in Arctic Conditions. In 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC) IEEE Institute of Electrical and Electronic Engineers. https://cris.vtt.fi/en/publications/benchmarking-automotive-lidar-performance-in-arctic-conditions

Duthon P., M. Colomb, Bernardin F.: Fog classification by their droplet size distributions - Application to the characterization of Cerema’s PAVIN BP platform. In: “Observation, Simulation and Predictability of Fog” in the Atmosphere. Special Issue. https://www.mdpi.com/2073-4433/11/6/596  

Li Y., Duthon P., Colomb M., Ibanez-Guzman J.: What happens for a ToF LiDAR in fog? in IEEE Transactions on Intelligent Transportation Systems. https://arxiv.org/pdf/2003.06660.pdf

Scheiner, N., Kraus, F., Fangyin Wei, Buu Phan, Mannan, F., Appenrodt, N., Ritter, W., Dickmann, J., Dietmayer, K., Sick, B., Heide, F.: Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. In: Computer Vision and Pattern Recognition Conference (CVPR2020). arxiv.org/abs/1912.06613

Scheiner, N., Schumann, O., Kraus, F., Appenrodt, N., Dickmann, J., Sick, B.: Off-the-shelf sensor vs. experimental radar – How much resolution is necessary in automotive radar classification? In: 23rd International Conference on Information Fusion. arxiv.org/abs/2006.05485

Kraus, F., Scheiner, N., Ritter, W., Dietmayer, K.: Using Machine Learning to Detect Ghost Images in Automotive Radar. In: 23rd IEEE Intelligent Transportation Systems Conference (ITSC). arxiv.org/abs/2007.05280