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Related Concept Videos

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

63
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
63
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

75
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
75
Errors in Global Positioning System01:26

Errors in Global Positioning System

61
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
61
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

78
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
78
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

67
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
67
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

365
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
365

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Related Experiment Video

Updated: Jul 15, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

568

Deep learning-based robust positioning for all-weather autonomous driving.

Yasin Almalioglu1, Mehmet Turan2, Niki Trigoni1

  • 1Department of Computer Science, University of Oxford, Oxford, UK.

Nature Machine Intelligence
|October 4, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a deep learning method for self-driving cars to estimate their location accurately, even in bad weather. This approach fuses visual and radar data for robust all-weather autonomous driving.

Keywords:
Computational scienceComputer science

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Vision

Background:

  • Autonomous vehicles (AVs) face challenges in precise localization due to sensor limitations in adverse weather.
  • Current AV deployment is restricted to small-scale trials, hindering widespread adoption.
  • Accurate ego-motion estimation is critical for safe and reliable AV operation.

Purpose of the Study:

  • To develop a robust ego-motion estimation method for autonomous vehicles.
  • To improve AV localization capabilities under inclement weather conditions.
  • To create a complementary localization solution that overcomes sensor imperfections.

Main Methods:

  • A deep learning-based, self-supervised approach for ego-motion estimation.
  • Geometry-aware fusion of visual and radar sensor data using attention-based learning.
  • Prediction of reliability masks to mitigate multimodal data deficiencies.

Main Results:

  • Demonstrated robust all-weather performance in rain, fog, and snow.
  • Showcased effective cross-domain generalizability across various conditions (day/night, harsh weather).
  • Utilized game theory for interpretability, revealing independent failure modes in the multimodal system.

Conclusions:

  • The proposed method offers a reliable localization solution for autonomous vehicles in adverse weather.
  • This approach enhances the safety and dependability of AVs for all-weather autonomous driving.
  • The fusion of visual and radar data with reliability masking proves effective for robust navigation.