Search Results for author: Fabian Brickwedde

Found 2 papers, 0 papers with code

Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes

no code implementations ICCV 2019 Fabian Brickwedde, Steffen Abraham, Rudolf Mester

Existing 3D scene flow estimation methods provide the 3D geometry and 3D motion of a scene and gain a lot of interest, for example in the context of autonomous driving.

Autonomous Driving Scene Flow Estimation

Mono-Stixels: Monocular depth reconstruction of dynamic street scenes

no code implementations7 Aug 2019 Fabian Brickwedde, Steffen Abraham, Rudolf Mester

In our experiments we use the public available DeepFlow for optical flow estimation and FCN8s for the semantic information as inputs and show on the KITTI 2015 dataset that mono-stixels provide a compact and reliable depth reconstruction of both the static and moving parts of the scene.

Optical Flow Estimation Semantic Segmentation

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