Search Results - "Dietmayer, Klaus"
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Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Published in IEEE transactions on intelligent transportation systems (01-03-2021)“…Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous…”
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Point Transformer
Published in IEEE access (2021)“…In this work, we present Point Transformer, a deep neural network that operates directly on unordered and unstructured point sets. We design Point Transformer…”
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A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Published in IEEE transactions on intelligent transportation systems (01-08-2022)“…Capturing uncertainty in object detection is indispensable for safe autonomous driving. In recent years, deep learning has become the de-facto approach for…”
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Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-01-2020)“…The fusion of multimodal sensor streams, such as camera, lidar, and radar measurements, plays a critical role in object detection for autonomous vehicles,…”
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Conference Proceeding -
5
A random finite set approach for dynamic occupancy grid maps with real-time application
Published in The International journal of robotics research (01-07-2018)“…Grid mapping is a well-established approach for environment perception in robotic and automotive applications. Early work suggests estimating the occupancy…”
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Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
Published in Journal of power sources (01-10-2013)“…The accurate estimation of state of health (SOH) and a reliable prediction of the remaining useful life (RUL) of Lithium-ion (Li-ion) batteries in hybrid and…”
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State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation
Published in Journal of power sources (15-06-2011)“…For reliable and safe operation of lithium-ion batteries in electric or hybrid vehicles, diagnosis of the cell degradation is necessary. This can be achieved…”
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Journal Article Conference Proceeding -
8
GenRadar: Self-Supervised Probabilistic Camera Synthesis Based on Radar Frequencies
Published in IEEE access (2021)“…Autonomous systems require a continuous and dependable environment perception for navigation and decision-making, which is best achieved by combining different…”
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Grid-based DBSCAN for clustering extended objects in radar data
Published in 2012 IEEE Intelligent Vehicles Symposium (01-06-2012)“…The online observation using high-resolution radar of a scene containing extended objects imposes new requirements on a robust and fast clustering algorithm…”
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Conference Proceeding -
10
Battery Health Monitoring and Degradation Prognosis in Fleet Management Systems
Published in World electric vehicle journal (29-08-2018)“…Today, fleet management systems with battery health monitoring capabilities are in the focus more than ever. This paper addresses the development of a novel…”
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Detecting Traffic Lights by Single Shot Detection
Published in 2018 21st International Conference on Intelligent Transportation Systems (ITSC) (01-11-2018)“…Recent improvements in object detection are driven by the success of convolutional neural networks (CNN). They are able to learn rich features outperforming…”
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Conference Proceeding -
12
Multi-sensor self-localization based on Maximally Stable Extremal Regions
Published in 2014 IEEE Intelligent Vehicles Symposium Proceedings (01-06-2014)“…This contribution presents a precise localization method for advanced driver assistance systems. A Maximally Stable Extremal Region (MSER) detector is used to…”
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Conference Proceeding -
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Tracking Multiple Vehicles Using a Variational Radar Model
Published in IEEE transactions on intelligent transportation systems (01-10-2019)“…High-resolution radar sensors are able to resolve multiple detections per object and, therefore, provide valuable information for vehicle environment…”
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14
The Labeled Multi-Bernoulli Filter
Published in IEEE transactions on signal processing (15-06-2014)“…This paper proposes a generalization of the multi- Bernoulli filter called the labeled multi-Bernoulli filter that outputs target tracks. Moreover, the labeled…”
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The Labeled Multi-Bernoulli SLAM Filter
Published in IEEE signal processing letters (01-10-2015)“…In this contribution, a new algorithm addressing the simultaneous localization and mapping (SLAM) problem is proposed: a Rao-Blackwellized implementation of…”
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Deep Convolutional Traffic Light Recognition for Automated Driving
Published in 2018 21st International Conference on Intelligent Transportation Systems (ITSC) (01-11-2018)“…Robust traffic light detection and state recognition is of crucial importance on the path to automated vehicles. However, the mere classification of the…”
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Conference Proceeding -
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Matching highly accurate maps to local environmental perception at road construction sites
Published in 2011 IEEE Intelligent Vehicles Symposium (IV) (01-06-2011)“…Detailed and highly accurate digital maps provide useful information for future driver assistance systems. The information of the positions of infrastructure…”
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Conference Proceeding -
18
The Ko-PER intersection laserscanner and video dataset
Published in 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) (01-10-2014)“…Public intersections are due to their complexity challenging locations for drivers. Therefore the german joint project Ko-PER - which is part of the project…”
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Conference Proceeding -
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Extending Onboard Sensor Information by Wireless Communication
Published in 2007 IEEE Intelligent Vehicles Symposium (01-06-2007)“…New algorithms for the integration of data, which is obtained by wireless communication, in an onboard sensor based vehicle environment model are introduced…”
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Conference Proceeding -
20
A Feature Level Fusion Approach for Object Classification
Published in 2007 IEEE Intelligent Vehicles Symposium (01-06-2007)“…A new feature level fusion approach for object classification is introduced. The system is implemented to fuse sensor data of a laser scanner and a video…”
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Conference Proceeding