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Mobile Car Driving (PROTOTYPE) 1.0.2

150.8 MB / 0+ Downloads / Rating 5.0 - 1 reviews


See previous versions

Mobile Car Driving (PROTOTYPE), developed and published by Ricardo Magalhães Cruz, has released its latest version, 1.0.2, on 2023-12-25. This app falls under the Auto & Vehicles category on the Google Play Store and has achieved over 5 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

Mobile Car Driving (PROTOTYPE) APK available on this page is compatible with all Android devices that meet the required specifications (Android). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: pt.up.fe.mobilecardriving

Updated: 1 year ago

Developer Name: Ricardo Magalhães Cruz

Category: Auto & Vehicles

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Mobile Car Driving (PROTOTYPE) on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

Mobile Car Driving (PROTOTYPE) 1.0.2
2023-12-25 / 150.8 MB / Android

About this app

WARNING: This app was developed by students from FEUP as part of their studies. It is a prototype. It is not meant for general consumption.

A technology race is "on" between car manufacturers to produce automatic systems to help human drivers. Currently, this technology goes from simple warnings and momentary assistance (SAE level 0) to fully self-driving systems under certain conditions (SAE level 3). However, these systems are expensive and the vast majority of the car fleet does not yet incorporate any of these systems. These systems typically use either RGB cameras or LiDAR sensors, or both. Tesla has been focusing mostly on RGB cameras, while Bosch/Daimler has focused more on LiDAR sensors. Neural networks are then used to translate these sensory inputs into semantic representations of the surroundings. Object detection systems already exist that provide high accuracy, even for mobile phone RGB cameras.

The goal of this project is to produce an Android application that generates an audible sound to warn the user in certain situations: when another car is in front of the user's car, when a pedestrian or another obstacle is on the road, and to notify on horizontal and vertical signs. The neural network should run on the mobile phone itself to mitigate problems that accompany the usage of a network connection to an external server. The mobile phone needs to be fixed in the dashboard so that it moves as little as possible and is positioned in such a way that it provides a good front-view.

App Permissions

Allows an app to access approximate location.
Allows an app to access precise location.
Required to be able to access the camera device.