Search Results - "Von Bernuth, Alexander"
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Towards Robust CNN-based Object Detection through Augmentation with Synthetic Rain Variations
Published in 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (01-10-2019)“…Convolutional Neural Networks (CNNs) achieve high accuracy in vision-based object detection tasks. For their usage in the automotive domain, CNNs have to be…”
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Conference Proceeding -
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A Comprehensive Safety Metric to Evaluate Perception in Autonomous Systems
Published in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (20-09-2020)“…Complete perception of the environment and its correct interpretation is crucial for autonomous vehicles. Object perception is the main component of automotive…”
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Conference Proceeding -
3
Simulating Photo-realistic Snow and Fog on Existing Images for Enhanced CNN Training and Evaluation
Published in 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (01-10-2019)“…Verification and robustness testing of machine learning algorithms for autonomous driving is crucial. Due to the increasing complexity and quantity of those…”
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Conference Proceeding -
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Simulating Realistic Rain, Snow, and Fog Variations For Comprehensive Performance Characterization of LiDAR Perception
Published in 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) (01-06-2022)“…For robust object detection on LiDAR data, neural networks have to be trained on diverse datasets that contain many different environmental influences like…”
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Conference Proceeding -
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Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition
Published in 2018 IEEE Intelligent Vehicles Symposium (IV) (01-06-2018)“…Recent developments in the field of autonomous cars indicate the appearance of those vehicles on the streets of every city in the near future. This urban…”
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Conference Proceeding -
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Environment-aware Development of Robust Vision-based Cooperative Perception Systems
Published in 2019 IEEE Intelligent Vehicles Symposium (IV) (01-06-2019)“…Autonomous vehicles need a complete and robust perception of their environment to correctly understand the surrounding traffic scene and come to the right…”
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Conference Proceeding -
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Augmenting Image Data Sets With Water Spray Caused by Vehicles on Wet Roads
Published in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (19-09-2021)“…Adverse weather conditions challenge object detection neural networks, because they are mostly trained on clean data sets that were taken in good weather. But…”
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Conference Proceeding -
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Environment-aware Optimization of Track-to-Track Fusion for Collective Perception
Published in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (08-10-2022)“…Correct and complete perception is key for autonomous vehicles to plan safe maneuvers. Especially under harsh weather conditions the use of sensing…”
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Conference Proceeding -
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Towards Realistic Evaluation of Collective Perception for Connected and Automated Driving
Published in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (19-09-2021)“…Collective perception in Vehicle-to-Everything (V2X) communications allows vehicles to exchange preprocessed sensor data with other traffic participants. It is…”
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Conference Proceeding