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Autonomous Driving

There are 3 posts filed in Autonomous Driving (this is page 1 of 1).

Semantic Segmentation Models for Autonomous Vehicles

Deep Learning Architectures/ Semantic Segmentation Models for Autonomous Driving

State-of-the-Art Semantic Segmentation models need to be tuned in terms of memory consumption and fps output to be used in time-sensitive applications like autonomous vehicles. Here we study models like FCN, SegNets, ENets, and ICNets.

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Prerak Mody in Autonomous Driving, Machine Learning | Comment

Semantic Segmentation Datasets for Autonomous Driving

An understanding of open data sets for urban semantic segmentation shall help one understand how to proceed while training models for self-driving cars. Explore datasets like Mapillary Vistas, Cityscapes, CamVid, KITTI and DUS.

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Prerak Mody in Autonomous Driving | Comment

Autonomous Driving Levels 0-5 Explained

Autonomous driving is no longer sci-fi, it’s become a reality and soon to be hitting our streets.

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Mothi Venkatesh in Autonomous Driving | Comment
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