HIGHLIGHTS
- who: Guangzhi Guo and colleagues from the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China University of Chinese Academy of Sciences, Beijing, China have published the research work: Real-Time Stereo Visual Odometry Based on an Improved KLT Method, in the Journal: (JOURNAL)
- what: The aim of this work was to develop a single-thread SVO without any prior knowledge of the motion to produce real-time and robust localization on a standard CPU. The work presented confirmed that feature selection can significantly reduce the number of iterations in the RANSAC scheme . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.