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-========== Brief Bio ========== 
-Jakob Engel received his Bachelor degree in Computer Science in 2009 and his Master degree in December 2011 at the Technical University of Munich (Germany). He received the **SIEMENS Award** for the best Master'​s Thesis 2012 for his work on Autonomous Camera-Based Navigation of a Quadrocopter. 
-Since September 2012 he is a full-time PhD Student in the Computer Vision Group at the TU Munich, headed by [[cremers|Prof. Daniel Cremers]]. His main research interests are visual SLAM (monocular, stereo and RGB-D), 3D reconstruction and vision-based navigation of (Nano-)Quadrotors. He received the **EMVA Young Professional Award 2014** for his work on Semi-Dense Visual Odometry (LSD-SLAM). 
-Since July 2016, he is a full-time researcher at Oculus Research. 
  
-========== Research Interests ==========+<​html><​center><​a href="​http://​jakobengel.com"><​b>​please visit my new website here</​b></​a></​center></​html>​
  
-  * **Direct Visual SLAM**. ​ 
-This video shows **DSO**: a novel direct and sparse monocular VO formulation we developed, and published as pre-print on arXiv in July 2016 ([[research:​vslam:​dso|more details]], code coming soon) 
-<​html><​center><​iframe width="​640"​ height="​360"​ src="//​www.youtube.com/​embed/​C6-xwSOOdqQ"​ frameborder="​0"​ allowfullscreen></​iframe></​center></​html>​ 
-<​html><​br /><br /></​html>​ 
  
-This video shows **LSD-SLAM**:​ a direct, large-scale monocular SLAM technique we developed, published at ECCV '14 ([[research:​vslam:​lsdslam|more details & code here]]): 
-<​html><​center><​iframe width="​640"​ height="​360"​ src="//​www.youtube.com/​embed/​GnuQzP3gty4"​ frameborder="​0"​ allowfullscreen></​iframe></​center></​html>​ 
-<​html><​br /><br /></​html>​ 
  
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-  * **Camera-based navigation of Quadrocopters**,​ e.g. the Parrot AR.Drone: Check out this video demonstrating the result of my Master'​s Thesis ([[research:​quadcopter|more details here]]): 
-<​html><​center><​iframe width="​560"​ height="​315"​ src="//​www.youtube.com/​embed/​eznMokFQmpc"​ frameborder="​0"​ allowfullscreen></​iframe></​center></​html>​ 
-We published the code as [[http://​www.ros.org/​wiki/​tum_ardrone|ROS node]], so you can try it out yourself (provided you have an AR.Drone 1.0 or 2.0). 
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-========== Publications ========== 
-<​bibtex>​ 
-<​author>​J. Engel</​author>​ 
-</​bibtex>​ 

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