Assembling a LiDAR Data Collection for Autonomous Vehicle Technology
Image Credit: Florian van Duyn
In a significant stride towards the development of safe self-driving technology, Volvo has introduced a new dataset named Cirrus. This comprehensive database, created by the Autonomous Driving Research Group at TUM (Technical University of Munich), was made available from 2019 to 2021.
The Cirrus dataset is a treasure trove for researchers, containing 6,285 pairs of LiDAR vehicle scanning patterns and corresponding camera images, meticulously annotated along eight object categories. These categories encompass a wide range of road users, including large vehicles, pedestrians, bicycles, and even animals.
This extensive dataset is intended to aid in the advancement of self-driving technology, providing a rich source of data for researchers to train and test their autonomous driving systems. The availability of such a detailed and diverse dataset is expected to accelerate the development of safer and more efficient self-driving technology.
The Cirrus dataset, initially created by the Autonomous Driving Research Group at TUM, is now available for researchers worldwide to utilise in their work. With its vast array of data and diverse range of annotated road users, the Cirrus dataset is poised to play a crucial role in the future of self-driving technology.
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