activity
20132023
most citedDeep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

1.4k citations · 3k across the 64 of their papers we have counts for

collaborators
Showing 2017Show all

2 papers · 1 filter

eess.SP2017

Tracking Multiple Vehicles Using a Variational Radar Model

Alexander Scheel, Klaus Dietmayer

High-resolution radar sensors are able to resolve multiple detections per object and therefore provide valuable information for vehicle environment perception. For instance, multip…

cs.RO2017

Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling

Stefan Hoermann, Martin Bach, Klaus Dietmayer

Long-term situation prediction plays a crucial role in the development of intelligent vehicles. A major challenge still to overcome is the prediction of complex downtown scenarios…