Open source holds the key to autonomous vehicles

Open source holds the key to autonomous vehicles


A growing number of car companies have made their autonomous vehicle (AV) datasets public in recent years.  Daimler fueled the trend by making its Cityscapes dataset freely available in 2016. Baidu and Aptiv respectively shared the ApolloScapes and nuScenes datasets in 2018. Lyft, Waymo and Argo followed suit in 2019. And more recently, automotive juggernauts Ford and Audi released datasets from their AV research programs to the public. Given the potential of self-driving cars to considerably disrupt transportation as we know it, it is worth taking a moment to explore what has motivated these automotive players — otherwise fiercely protective of their intellectual property — to openly share their precious AV datasets with each other and with the wider world. The idea of AV datasets AV prototypes come with a bunch of integrated sensors. Cameras, lidars, radars, sonars, GPS, IMUs, thermometers, hygrometers, you name it. Each of these sensors specialises in gathering one specific kind of information about the car’s environment. Now imagine a fleet of such prototypes driven through different environments under varying traffic, weather and lighting conditions, all the while recording observations from its suite of sensors. The result is an abundant amount of raw data. Prime up this data through scaling, normalising and removing corrupt values, put it all in one coherent collection, and what you are left with is a nifty AV dataset. The idea of such a dataset is to gather as much information as possible about real world conditions that a self-driving car could find itself in. Why? We’ll get to that in a moment. For now, let’s talk about data enrichment. Once the dataset is primed, one can go a step further and also label this data with attributes defining the objects perceived by the car. This provides the ground truth for an…


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Sibananda Sahu
Sibananda Sahu 149 posts

A Linux Kernel Developer and a Firmware Developer by profession. Have worked with few big companies: BROADCOM Corporation, Cypress Semiconductor, LSI Corporation, TOSHIBA Corporation, Western Digital; on various cutting edge technologies and product lines, such as: RAID storage Driver, SSD Firmware, WLAN Firmware etc. Having more than 9 years of experience in Software Engineering domain. Now, took a pledge to educate all aspirant students to teach about Linux Kernel Development.

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