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Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs
In this paper, we tackle the problem of spatio-temporal tagging of self-driving scenes from raw sensor data.
DeepSignals: Predicting Intent of Drivers Through Visual Signals
Detecting the intention of drivers is an essential task in self-driving, necessary to anticipate sudden events like lane changes and stops.
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
The efficiency results from processing LiDAR data in the native range view of the sensor, where the input data is naturally compact.
Uniform Transformation of Non-Separable Probability Distributions
A potential function is shown to link probability density functions to their transformation, and to generalize the cumulative.
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