Estimation of ego-motion velocities from single static images

Estimation of ego-motion velocities from single static images

Napolean, Yeshwanth (TU Delft Aerospace Engineering)

de Croon, G.C.H.E. (mentor)
van Gemert, J.C. (graduation committee)

Delft University of Technology

Aerospace Engineering

2018-05-31

Velocity estimation based on visual information is a well- researched topic. Traditional approaches usually rely on how a given feature or features change between successive images in a sequence. However, a single static image might contain motion information that could potentially be lever- aged to estimate the optical flow. It can be hypothesized that motion blur and context of the scene are two sources of mo- tion information in static images. This research work has two main goals, one is to investigate the prospect of using a learning-based framework to model a mapping directly to camera ego-motion velocity. The second goal is to ana- lyze the contributing features in learning such a mapping. Experiments show that the model is able to learn velocity based on context of the scene but performs better when in- put images contain motion blur.

http://resolver.tudelft.nl/uuid:c75ab7d9-e711-4e0c-93ea-ff092e2e9131

Student theses

master thesis

© 2018 Yeshwanth Napolean