Werner Ritter

According to our database1, Werner Ritter authored at least 27 papers between 1990 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Simulating Road Spray Effects in Automotive Lidar Sensor Models.
CoRR, 2022

Gated2Gated: Self-Supervised Depth Estimation from Gated Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Benchmark for Spray from Nearby Cutting Vehicles.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

The Radar Ghost Dataset - An Evaluation of Ghost Objects in Automotive Radar Data.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Uncertainty depth estimation with gated images for 3D reconstruction.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Benchmarking Automotive LiDAR Performance in Arctic Conditions.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Using Machine Learning to Detect Ghost Images in Automotive Radar.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data.
CoRR, 2019

Gated2Depth: Real-time Dense Lidar from Gated Images.
CoRR, 2019

Weather Influence and Classification with Automotive Lidar Sensors.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Learning Super-resolved Depth from Active Gated Imaging.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Robustness Against Unknown Noise for Raw Data Fusing Neural Networks.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2016
Automotive LIDAR sensor development scenarios for harsh weather conditions.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2014
Instruction-set extension for an ASIP-based SIFT feature extraction.
Proceedings of the XIVth International Conference on Embedded Computer Systems: Architectures, 2014

A comprehensive ASIC/FPGA prototyping environment for exploring embedded processing systems for advanced driver assistance applications.
Proceedings of the XIVth International Conference on Embedded Computer Systems: Architectures, 2014

2011
Development and evaluation of a performance metric for image-based driver assistance systems.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2006
Heterogeneous Fusion of Video, LIDAR and ESP Data for Automotive ACC Vehicle Tracking.
Proceedings of the 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2006

Multisensor Vehicle Tracking with the Probability Hypothesis Density Filter.
Proceedings of the 9th International Conference on Information Fusion, 2006

1997
Automatische Verkehrszeichenerkennung: ein stabiles echtzeitfähiges Verkehrszeichenerkennungssystem basierend auf der Auswertung von digitalen Farbbildern.
PhD thesis, 1997

1990
A Knowledge Based System for Traffic Sign Recognition.
Proceedings of the Mustererkennung 1990, 1990


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