3 papers
cs.LG2020
Explicit Domain Adaptation with Loosely Coupled Samples
Oliver Scheel, Loren Schwarz, Nassir Navab +1
Transfer learning is an important field of machine learning in general, and particularly in the context of fully autonomous driving, which needs to be solved simultaneously for man…
cs.CV2019
Attention-based Lane Change Prediction
Oliver Scheel, Naveen Shankar Nagaraja, Loren Schwarz +2
Lane change prediction of surrounding vehicles is a key building block of path planning. The focus has been on increasing the accuracy of prediction by posing it purely as a functi…
cs.CV2018
Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction
Oliver Scheel, Loren Schwarz, Nassir Navab +1
One of the greatest challenges towards fully autonomous cars is the understanding of complex and dynamic scenes. Such understanding is needed for planning of maneuvers, especially…