Policy Indications: How Materials Science Helps Contain Contain Covid-19 Spread  |  National Edu News: IIT Hyderabad and PharmCADD signed a pact for the co-development of new drugs   |  Teacher Insights: Be Game  |  Health Monitor: Understanding ‘Haemorrhage'  |  National Edu News: Pallikkutam GlobalConnect#3 on 'Innovative Tools for Effective Teaching'  |  Expert Counsel: The Nine Dash Line  |  National Edu News: Astronomers Find One Group of Appearing and Disappearing Stars  |  Teacher Insights: Bird Book for Children to Love Nature  |  International Edu News: New Model to Fight Social Media Deep Fakes  |  Teacher Insights: Universal Lunch Makes Students Healthier  |  Teacher Insights: Physical Activity Boosts Self Regulation  |  Parent Interventions: Anti-Inflammatory Foods Reduce Blood Fats  |  Parent Interventions: New Technique to Treat ADHD  |  Parent Interventions: Reduce Lab Tests in NICU Patients  |  Parent Interventions: Switch Off  |  
July 07, 2021 Wednesday 01:38:12 PM IST

Autonomous Vehicles Recognise Terrains

Science Innovations

A new algorithm has been developed by the California Institute of Technology (Caltech) that allows autonomous vehicle systems to recognise where they are simply by looking at the terrain around them. This new algorithm works regardless of seasonal changes to the terrain. The present visual terrain-relative navigation (VTRN) system depends on close matches to the images in its database to identify terrains. Anything that alters or obscured the terrain, such as snow cover or fallen leaves, causes the images do not to match up and fouls up the system. With the use of deep learning and artificial intelligence (AI), Caltech scientists have been able to remove seasonal content that hinders current VTRN systems. It uses a self-supervised learning technique and the AI looks for patterns in images by teasing out details and features that would likely be missed by humans.