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

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

5 November 2021

Johannes Jestram

Christin Scheib

J. Marius Zöllner

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

8 / 8 papers shown

Title
Learned Multimodal Compression for Autonomous Driving Hadi Hadizadeh Ivan V. Bajić 21 1 0 15 Aug 2024
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization Sreenitha Kasarapu Sanket Shukla Sai Manoj Pudukotai Dinakarrao 16 0 0 12 Apr 2024
Conditioning Latent-Space Clusters for Real-World Anomaly Classification Daniel Bogdoll Svetlana Pavlitska Simon Klaus J. Marius Zöllner DRL 17 1 0 18 Sep 2023
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving Daniel Bogdoll Lukas Bosch Tim Joseph Helen Gremmelmaier Yitian Yang J. Marius Zöllner 11 4 0 10 Aug 2023
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity Xu Han Jun Li Wen Chen Zhen Mei Kang Wei Ming Ding H. Vincent Poor 19 2 0 04 Aug 2023
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers Daniel Bogdoll Meng Zhang Maximilian Nitsche J. Marius Zöllner 15 1 0 13 Jul 2022
Description of Corner Cases in Automated Driving: Goals and Challenges Daniel Bogdoll Jasmin Breitenstein Florian Heidecker Maarten Bieshaar Bernhard Sick Tim Fingscheidt J. Marius Zöllner 32 54 0 20 Sep 2021
Deep Generative Modeling of LiDAR Data Lucas Page-Caccia H. V. Hoof Aaron Courville Joelle Pineau 3DPC 138 74 0 04 Dec 2018