A new way to automatically build road maps from aerial images

A new way to automatically build road maps from aerial images

  • April 22, 2018
Table of Contents

A new way to automatically build road maps from aerial images

“RoadTracer” system from MIT’s Computer Science and Artificial Intelligence Laboratory could reduce workload for developers of apps like Google Maps.

Source: mit.edu

Share :
comments powered by Disqus

Related Posts

A Face-Detection Library in 200 Lines of JavaScript

A Face-Detection Library in 200 Lines of JavaScript

The pico.js library is a JavaScript implementation of the method described in 2013 by Markuš et al. in a technical report. The reference implementation is written in C and available on GitHub: https://github.com/nenadmarkus/pico.

Read More
This AI Will Turn Your Dog Into a Cat

This AI Will Turn Your Dog Into a Cat

As detailed in a paper published to arXiv, the neural net is actually a generative adversarial network (GAN), which is a way of training a machine learning algorithm without human supervision. In GANs, two neural nets are pitted against one another: One neural net generates new images and tries to trick the other neural net into thinking the images are real. If the other neural net is able to tell the generated images are false

Read More
Rethinking GPS: Engineering Next-Gen Location at Uber

Rethinking GPS: Engineering Next-Gen Location at Uber

Location and navigation using global positioning systems (GPS) is deeply embedded in our daily lives, and is particularly crucial to Uber’s services. To orchestrate quick, efficient pickups, our GPS technologies need to know the locations of matched riders and drivers, as well as provide navigation guidance from a driver’s current location to where the rider needs to be picked up, and then, to the rider’s chosen destination. For this process to work seamlessly, the location estimates for riders and drivers need to be as precise as possible.

Read More