Written by Dheepan Ramanan (@dheepan_ramanan), Data Scientist and Ivan Kopas (@ivan_kopas), Machine Learning Engineer Last Friday ARK Invest released a new price target for Tesla as well as an updated, open-source model. The scale of autonomous ride hailing networks and ARK’s estimate for Tesla’s dominance emerged as the most contentious elements in the model. These components contribute nearly 50% of ARK’s $3k 2025 price target. On twitter there has been considerable debate on the size of the Robotaxi market and Tesla’s lead in autonomous driving, questioning whether Tesla’s Full Self Driving (FSD) approach can be reverse-engineered and replicated by the competitors.
This year was huge for me in the field of machine learning and computer vision in particular. A bit more than a year ago I would never believe that I would spend a week abroad not…
- Although given problem reported on Ubuntu 17.04, encountered same issue on Ubuntu 18.04, on installing opencv3 using:
conda install --channel https://conda.anaconda.org/menpo opencv3
- given advice fixed the problem ! i.e. to use pip instead of conda
Announcing the SUMO challenge - a contest to encourage the development of algorithms for complete understanding of 3D indoor scenes from 360° RGB-D panoramas with the goal of enabling social AR and VR research and experiences.
- Modern C++ for Computer Vision
- 3D Coordinate Systems
- Photogrammetry I
- Mobile Sensing and Robotics I
- Photogrammetry II
- Mobile Sensing and Robotics II
- Techniques for Self-Driving Cars
- Master Project
W. Hung, Y. Tsai, Y. Liou, Y. Lin, и M. Yang. (2018)cite arxiv:1802.07934Comment: Accepted in BMVC 2018. Code and models available at https://github.com/hfslyc/AdvSemiSeg.
P. Wu, R. Wang, K. Kin, C. Twigg, S. Han, M. Yang, и S. Chien. Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, стр. 365--374. New York, NY, USA, ACM, (2017)