About

State-of-the-art algorithms for route-based place recognition under changing conditions.

Benchmarks

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

A Hybrid Compact Neural Architecture for Visual Place Recognition

15 Oct 2019mchancan/flynet

State-of-the-art algorithms for visual place recognition, and related visual navigation systems, can be broadly split into two categories: computer-science-oriented models including deep learning or image retrieval-based techniques with minimal biological plausibility, and neuroscience-oriented dynamical networks that model temporal properties underlying spatial navigation in the brain.

AUTONOMOUS DRIVING IMAGE RETRIEVAL MOTION ESTIMATION SELF-DRIVING CARS SEQUENTIAL PLACE LEARNING SEQUENTIAL PLACE RECOGNITION VISUAL LOCALIZATION VISUAL NAVIGATION VISUAL PLACE RECOGNITION