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Driven by Vision: Learning Navigation by Visual Localization and Trajectory Prediction
2021
Sensors
When driving, people make decisions based on current traffic as well as their desired route. They have a mental map of known routes and are often able to navigate without needing directions. Current published self-driving models improve their performances when using additional GPS information. Here we aim to push forward self-driving research and perform route planning even in the complete absence of GPS at inference time. Our system learns to predict in real-time vehicle's current location and
doi:10.3390/s21030852
pmid:33514019
pmcid:PMC7865778
fatcat:4ezkwpkxfnfaxiijvbsmljlxhq