HIGHLIGHTS
- who: Safa Ouerghi et al. from the Normandie University, UNIROUEN, ESIGELEC, IRSEEM, Rouen, France have published the article: Visual Odometry and Place Recognition Fusion for Vehicle Position Tracking in Urban Environments, in the Journal: (JOURNAL)
- what: The authors propose a kind of hybrid_approach that combines local metrical localization (e_g, visual odometry) with a topological one (e_g, SeqSLAM). The aim of this section is to track the state of the vehicle over several images. The authors show the path estimated by VO in red and the corrected one (VO+SeqSLAM) in blue. The authors show the . . .
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