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Found 4 papers, 1 papers with code
UGainS: Uncertainty Guided Anomaly Instance Segmentation
Our approach centers on an out-of-distribution segmentation model for identifying uncertain regions and a strong generalist segmentation model for anomaly instances segmentation.
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping
In this work, we describe a novel approach to integrate deep ISMs together with geometric ISMs into the evidential occupancy mapping framework.
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework
To perform high speed tasks, sensors of autonomous cars have to provide as much information in as few time steps as possible.
Deep, spatially coherent Occupancy Maps based on Radar Measurements
One essential step to realize modern driver assistance technology is the accurate knowledge about the location of static objects in the environment.
