57 citations
- University of California, MercedUS9 papers
- AGH University of KrakowPL7 papers
- Donghua UniversityCN4 papers
- École Polytechnique Fédérale de LausanneCH4 papers
- Technical University of MunichDE3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Institut Polytechnique de ParisFR2 papers
- Intelligent Systems Research (United States)US2 papers
- LIP6FR2 papers
- Nanyang Technological UniversitySG2 papers
- RWTH Aachen UniversityDE2 papers
15 papers · 1 filter
Hardware-aware Graph Neural Networks prunning for embedded event-based vision
Piotr Wzorek, Kamil Jeziorek, Tomasz Kryjak
Event-based cameras are gaining popularity as the sensor of choice for mobile robotics, due to their high performance in dynamic environments. However, these applications require e…
Interpolation-Based Event Visual Data Filtering Algorithms
Marcin Kowlaczyk, Tomasz Kryjak
The field of neuromorphic vision is developing rapidly, and event cameras are finding their way into more and more applications. However, the data stream from these sensors is char…
LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving
Jörg Gamerdinger, Sven Teufel, Stephan Amann +2
Comprehensive perception of the vehicle's environment and correct interpretation of the environment are crucial for the safe operation of autonomous vehicles. The perception of sur…
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
Francesco Dibitonto, Fabio Garcea, André Panisson +2
Convolutional Neural Networks (CNNs) are nowadays the model of choice in Computer Vision, thanks to their ability to automatize the feature extraction process in visual tasks. Howe…
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision
Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut +2
Event-based vision is an emerging research field involving processing data generated by Dynamic Vision Sensors (neuromorphic cameras). One of the latest proposals in this area are…
Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception
Sven Teufel, Jörg Gamerdinger, Georg Volk +1
Comprehensive perception of the environment is crucial for the safe operation of autonomous vehicles. However, the perception capabilities of autonomous vehicles are limited due to…