Deep learning based motion prediction algorithms for autonomous driving

In order to ensure that autonomous driving vehicles can make appropriate driving decisions based on the surrounding situation, motion prediction algorithms are used to generate the driving decision output, which will then be used for guiding the trajectory of the vehicle. In general, the output of the motion prediction algorithm is a series that...

Low Overhead Scalable Sorting for DNA Analysis using Apache Arrow Flight

Variant calling is a classic example of DNA data analysis, in which variants from DNA sequence data are identified. In recent years, a number of frameworks have been developed for implementing the variant calling pipeline. As a result, deeper scientific insights have been gained into genomics. From the computational point of view, however, these...

Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Rodent Whisker Tracking

The rodent whisker system is becoming a prominent experimental subject for the study of active sensing. As a result of improved video recording hardware/software and progressively better neurophysiological methods, there is now the prospect of precisely analyzing the intact vibrissal sensorimotor system. The vibrissae and snout analyzer (ViSA),...