1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.RO2020
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping
Daniel Bauer, Lars Kuhnert, Lutz Eckstein
With the recent boost in autonomous driving, increased attention has been paid on radars as an input for occupancy mapping. Besides their many benefits, the inference of occupied s…
cs.CV2019
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework
Daniel Bauer, Lars Kuhnert, Lutz Eckstein
To perform high speed tasks, sensors of autonomous cars have to provide as much information in as few time steps as possible. However, radars, one of the sensor modalities autonomo…
cs.RO2019★ 1 cited
Deep, spatially coherent Occupancy Maps based on Radar Measurements
Daniel Bauer, Lars Kuhnert, Lutz Eckstein
One essential step to realize modern driver assistance technology is the accurate knowledge about the location of static objects in the environment. In this work, we use artificial…