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August 2019

Papers at IEEE Intelligent Vehicles Conference 2019

The following papers have been presented at the Intelligent Vehicles Symposium (IV) 2019 from 9th to 12th of June in Paris, France:

PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker

DeLiO: Decoupled LiDAR Odometry
Queens Maria Thomas, Oliver Wasenmüller, Didier Stricker

The 2019 IEEE Intelligent Vehicles Symposium (IV’19) is a premier annual technical forum sponsored by the IEEE Intelligent Transportation Systems Society (ITSS). It brings together researchers and practitioners from universities, industry, and government agencies worldwide to share and discuss the latest advances in theory and technology related to intelligent vehicles. Papers concerning all aspects of intelligent vehicles as well as proposals for workshops and specials sessions are invited for IV’19. For more Information click here.

Oral Paper at CVPR 2019!

Our team members have presented the following paper at the Computer Vision and Pattern Recognition Conference 2019 which took place from 16th to 20th of June 2019 in Long Beach, California, USA and is the “premier” conference in this field (Computer Vision).

SDC – Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker

Content: To introduce a new design element for Deep Neural Networks (SDC – Stacked Dilated Convolutions) and beyond that to apply this element in a network for Dense Feature Description. With the new descriptor, we were able to improve matching for stereo disparity, optical flow, and scene flow on different data sets by up to 50%.

Our paper was accepted from 5160 submissions as one of 1294 (acceptance rate: 25.1 %) and was also one of the 288 oral papers (oral presentation in addition to the poster session), oral rate: 5.6 % of submissions, 22.3 % of accepted papers. The presentation can be seen here.

New European Project “BIONIC”

BIONIC is a European research project aiming to develop an unobtrusive, autonomous and privacy preserving platform for real-time risk alerting and continuous persuasive coaching, enabling the design of workplace interventions adapted to the needs and fitness levels of specific ageing workforce. Gamification strategies adapted to the needs and wishes of the elderly workers will ensure optimal engagement for prevention and self-management of musculoskeletal health in any working/living environment.

For more Information visit https://bionic-h2020.eu.

Official project Kick-Off Meeting at DFKI’s Headquarters in Kaiserslautern, Germany.