Search Results for author: Christin Scheib

Found 2 papers, 2 papers with code

Multimodal Detection of Unknown Objects on Roads for Autonomous Driving

1 code implementation • 3 May 2022 • Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner

Tremendous progress in deep learning over the last years has led towards a future with autonomous vehicles on our roads.

Anomaly Detection Autonomous Driving

Paper
Code

Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models

1 code implementation • 5 Nov 2021 • Daniel Bogdoll, Johannes Jestram, Jonas Rauch, Christin Scheib, Moritz Wittig, J. Marius Zöllner

Due to the massive volume of sensor data that must be sent in real-time, highly efficient data compression is elementary to prevent an overload of network infrastructure.

Autonomous Vehicles Data Compression

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.