Search Results for "driving"
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Showing 14 open source projects for "driving"
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CARLA Simulator
Open-source simulator for autonomous driving research.
CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites, environmental conditions, full control of all static and dynamic actors, maps generation and much more. -
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Traccar
Traccar GPS Tracking System
The Traccar software offers exceptional performance and stability, whether it is installed on Windows, Linux, or any other platform. The server can be hosted on-premise or in the cloud, and we provide various hosted options with professional support. Traccar stands out among GPS tracking systems on the market by supporting a vast array of protocols and device models. Whether you prefer low-cost, no-name GPS trackers or high-end, quality brands, Traccar enables you to choose from a wide... -
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skunks
3D driving simulation based on Open Dynamics Engine
Sour*eforge.net has become inaccesible to me because of Cl*udflare. The latest version of skunks is on my site: https://matei.one/. 3D realistic driving (not racing) simulation with software rendering, based on Open Dynamics Engine (which is included in all *.tar.gz files so it doesn't have to be downloaded separately). 10 cars (all electric) and 16 tracks are available in version 5.1.0. Cars and tracks can be easily created and modified. Only SDL 1.2 or SDL 2 required besides standard C library. ... -
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Simulation of Urban MObility
SUMO is a microscopic, multi-modal traffic simulation.
SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation. The code and the issue tracker can be found at https://github.com/eclipse-sumo/sumo/ The documentation can be found at https://sumo.dlr.de/docs/ -
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Thinknowlogy
The world's only naturally intelligent knowledge technology
...Natural language and spatial information are sources of natural intelligence: - Natural language is providing concrete logic for organizing knowledge objects, - Spatial information provides concrete logic for organizing spatial objects (utilized in, e.g., self-driving cars). In this way, our brains know how to organize their knowledge and spatial information. I focus on natural language because this source of natural intelligence is hardly understood by scientists. Hence, the inability of Large Language Models to organize changes in their knowledge independently. -
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JPL Open Source Rover Project
A build-it-yourself, 6-wheel rover based on the rovers on Mars
The JPL Open Source Rover is an open source, build it yourself, scaled down version of the 6 wheel rover design that JPL uses to explore the surface of Mars. The Open Source Rover is designed almost entirely out of consumer off the shelf (COTS) parts. This project is intended to be a teaching and learning experience for those who want to get involved in mechanical engineering, software, electronics, or robotics. JPL is always looking to inspire the next generation of scientists, engineers,... -
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BEVFormer
Implementation of BEVFormer, a camera-only framework
3D visual perception tasks, including 3D detection and map segmentation based on multi-camera images, are essential for autonomous driving systems. In this work, we present a new framework termed BEVFormer, which learns unified BEV representations with spatiotemporal transformers to support multiple autonomous driving perception tasks. In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries. ... -
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Semantic Segmentation Editor
Web labeling tool for bitmap images and point clouds
A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js. -
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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A C++ class library specifically designed for data reduction tasks in driving simulation or on-board vehicle data collection.
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An effort to create free and open enviroment, to build complex "rail world", including all rail technology lovers' interests - locomotives (steam, diesel, electric) - driving or documentation, physics, traffic control, etc.
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Gmapper is a PHP class aimed at easing the integration of google maps in web pages. It generates all the JS Code needed for advanced functions such as geocoding and driving directions.
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Java software. Processes images from USB web camera or Blue Tooth enable cell phones. Generates commands for driving small hand-made robots.
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PyExp is a Python framework to develop programs driving physical experiments, dealing with Physical Elements in the high layer and translating this into actions on devices or groups of devices on the low layer.
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