Interlacing Self Localization Moving Object Tracking And Mapping For 3d Range Sensors
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Interlacing Self Localization Moving Object Tracking And Mapping For 3d Range Sensors
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Author : Frank Moosmann
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-05-13
Interlacing Self Localization Moving Object Tracking And Mapping For 3d Range Sensors written by Frank Moosmann and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-13 with Computers categories.
This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The solution is based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners. As result, objects are tracked and a detailed 3D model is built for each object and for the static environment. The performance is demonstrated in challenging urban environments that contain many different objects.
Interlacing Self Localization Moving Object Tracking And Mapping For 3d Range Sensors
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Author : Frank Moosmann
language : en
Publisher:
Release Date : 2013
Interlacing Self Localization Moving Object Tracking And Mapping For 3d Range Sensors written by Frank Moosmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The solution is based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners. As result, objects are tracked and a detailed 3D model is built for each object and for the static environment. The performance is demonstrated in challenging urban environments that contain many different objects.
Self Calibration Of Multi Camera Systems For Vehicle Surround Sensing
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Author : Knorr, Moritz
language : en
Publisher: KIT Scientific Publishing
Release Date : 2018-12-19
Self Calibration Of Multi Camera Systems For Vehicle Surround Sensing written by Knorr, Moritz and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-19 with Calibration categories.
Lane Precise Localization With Production Vehicle Sensors And Application To Augmented Reality Navigation
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Author : Rabe, Johannes
language : en
Publisher: KIT Scientific Publishing
Release Date : 2019-01-10
Lane Precise Localization With Production Vehicle Sensors And Application To Augmented Reality Navigation written by Rabe, Johannes and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-10 with Augmented reality categories.
This works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS, radar, and camera. Performance evaluations on more than 200 km of data show that the proposed algorithm can reliably determine the current lane. Furthermore, a possible architecture for an intuitive route guidance system based on Augmented Reality is proposed together with a lane-change recommendation for unclear situations.
Mapping And Localization In Urban Environments Using Cameras
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Author : Henning Lategahn
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014
Mapping And Localization In Urban Environments Using Cameras written by Henning Lategahn and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computers categories.
In this work we present a system to fully automatically create a highly accurate visual feature map from image data acquired from within a moving vehicle. Moreover, a system for high precision self localization is presented. Furthermore, we present a method to automatically learn a visual descriptor. The map relative self localization is centimeter accurate and allows autonomous driving.
Probabilistic Motion Planning For Automated Vehicles
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Author : Naumann, Maximilian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2021-02-25
Probabilistic Motion Planning For Automated Vehicles written by Naumann, Maximilian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-25 with Technology & Engineering categories.
In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended safety verification framework. The approaches consider uncertainties from imperfect perception, occlusions and limited sensor range, and also those in the behavior of other traffic participants.
Motion Planning For Autonomous Vehicles In Partially Observable Environments
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Author : Taş, Ömer Şahin
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-10-23
Motion Planning For Autonomous Vehicles In Partially Observable Environments written by Taş, Ömer Şahin and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-23 with categories.
This work develops a motion planner that compensates the deficiencies from perception modules by exploiting the reaction capabilities of a vehicle. The work analyzes present uncertainties and defines driving objectives together with constraints that ensure safety. The resulting problem is solved in real-time, in two distinct ways: first, with nonlinear optimization, and secondly, by framing it as a partially observable Markov decision process and approximating the solution with sampling.
Probabilistic Models For 3d Urban Scene Understanding From Movable Platforms
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Author : Andreas Geiger
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-07-29
Probabilistic Models For 3d Urban Scene Understanding From Movable Platforms written by Andreas Geiger and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-29 with Computers categories.
This work is a contribution to understanding multi-object traffic scenes from video sequences. All data is provided by a camera system which is mounted on top of the autonomous driving platform AnnieWAY. The proposed probabilistic generative model reasons jointly about the 3D scene layout as well as the 3D location and orientation of objects in the scene. In particular, the scene topology, geometry as well as traffic activities are inferred from short video sequences.
Novel Aggregated Solutions For Robust Visual Tracking In Traf C Scenarios
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Author : Tian, Wei
language : en
Publisher: KIT Scientific Publishing
Release Date : 2019-05-21
Novel Aggregated Solutions For Robust Visual Tracking In Traf C Scenarios written by Tian, Wei and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-21 with Technology & Engineering categories.
This work proposes novel approaches for object tracking in challenging scenarios like severe occlusion, deteriorated vision and long range multi-object reidenti?cation. All these solutions are only based on image sequence captured by a monocular camera and do not require additional sensors. Experiments on standard benchmarks demonstrate an improved state-of-the-art performance of these approaches. Since all the presented approaches are smartly designed, they can run at a real-time speed.
Probabilistic Maneuver Recognition In Traffic Scenarios
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Author : Firl, Jonas
language : en
Publisher: KIT Scientific Publishing
Release Date : 2015-01-07
Probabilistic Maneuver Recognition In Traffic Scenarios written by Firl, Jonas and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-07 with Technology (General) categories.
In this work an approach is presented to model and recognize traffic maneuvers in terms of interactions between different traffic participants on extra urban roads. Results of the recognition concept are presented and evaluated using different sensor setups and its benefit is outlined by an integration into a software framework in the field of Car-to-Car (C2C) communications. Furthermore, recognition results are used in this work to robustly predict vehicle's trajectories while driving dynamic.