Why does every self-driving car company use different sensors and different mounting positions? Although there is still a large variety in sensor sets, there are some recurring patterns to be found, like high resolution lidars mounted on the roof center of autonomous vehicles. This article aims to provide an overview Read more…
This is what it really takes 1. Solid software engineering is paramount Building a truly self-driving car is the moon landing of our time. The task is nothing less than building a driving robot that delivers super-human driving safety in highly complex environments full of vulnerable, hardly predictable other agents Read more…
One of the major applications of machine learning in autonomous driving is semantic segmentation or scene parsing of urban driving scenes. Until a few years ago, semantic segmentation was one of the most challenging problems in computer. Nowadays deep learning has revolutionized computer vision, enabling accurate environment recognition beyond human Read more…
Previously, we have discussed how Machine Learning is fundamentally different from conventional software development. Machine Learning is data driven: performance doesn’t scale with the development effort, but with the amount of data used for training. Retraining with new data can even be automated, if data is recurrently updated. Surprisingly, training Read more…
The autonomy of cars is defined by six levels in the SAE standard J3016. SAE’s levels range from zero autonomy, where the car is operated solely by its human driver, to full autonomy, where the car is operating independent from human input. Level 0 – No autonomy A level 0 Read more…
Machine Learning algorithms, particularly Convolutional Neural Networks (CNNs), play a fundamental role in SW stacks for autonomous driving. Machine Learning is essential for recognizing other traffic participants, can substantially improve localization and prediction, and even show great potential for decision-making and path planning. CNNs have already made it to series Read more…
The future is now: Autonomous Driving is approaching fast and will transform mobility permanently. Artificial intelligence, growing connectivity and powerful sensors are the key drivers of this development. This is an open knowledge platform for autnomous driving enthusiasts, self-driving car engieers and all those who can’t wait until we’ll all Read more…
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