# Positioning aiding using LiDAR in GPS signal loss scenarios

## TL;DR

This paper proposes a sensor data processing scheme that enhances the positioning accuracy of an autonomous surface vehicle in GPS-denied scenarios by using LiDAR scan matching and registration, demonstrated through preliminary harbor-river environment trials.

## Contribution

It introduces a novel method combining LiDAR scan matching with registration to improve positioning during GPS signal loss in complex environments.

## Key findings

- Positioning accuracy improved during GPS signal loss.
- Effective in harbor-river environments with man-made structures.
- Preliminary results show promising performance.

## Abstract

In the presented scenario, an autonomous surface vehicle (ASV) equipped with a laser scanner navigates on a inland pathway surrounded and crossed by man-made structures such as bridges and locks. {GPS} receiver present on board experiences signal loss and multipath reflections in situation when the view of the sky is obscured by a bridge or tall buildings. In both cases, a potentially dangerous situation is provoked as the robot has no or inaccurate positioning data. A sensor data processing scheme is proposed where these gaps are smoothly filled in by positioning data generated from scan matching and registration of the laser data. This article shows preliminary results of positioning data improvement during trials in harbor-river environment.