Probabilistic Models For 3d Urban Scene Understanding From Movable Platforms PDF Download
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| Author | : Andreas Geiger |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 196 |
| Release | : 2014-07-29 |
| Genre | : Computers |
| ISBN | : 3731500817 |
Download Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms Book in PDF, ePub and Kindle
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.
| Author | : Andreas Geiger |
| Publisher | : |
| Total Pages | : 192 |
| Release | : 2020-10-09 |
| Genre | : Computers |
| ISBN | : 9781013280788 |
Download Probabilistic Models for 3D Urban Scene Understanding From Movable Platforms Book in PDF, ePub and Kindle
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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
| Author | : Firl, Jonas |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 176 |
| Release | : 2015-01-07 |
| Genre | : Technology (General) |
| ISBN | : 3731502879 |
Download Probabilistic Maneuver Recognition in Traffic Scenarios Book in PDF, ePub and Kindle
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.
| Author | : Schwarze, Tobias |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 158 |
| Release | : 2018-09-25 |
| Genre | : |
| ISBN | : 373150801X |
Download Compact Environment Modelling from Unconstrained Camera Platforms Book in PDF, ePub and Kindle
| Author | : Naumann, Maximilian |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 192 |
| Release | : 2021-02-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3731510707 |
Download Probabilistic Motion Planning for Automated Vehicles Book in PDF, ePub and Kindle
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.
| Author | : Schoenbein, Miriam |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 156 |
| Release | : 2015-04-22 |
| Genre | : Technology (General) |
| ISBN | : 3731503573 |
Download Omnidirectional Stereo Vision for Autonomous Vehicles Book in PDF, ePub and Kindle
Environment perception with cameras is an important requirement for many applications for autonomous vehicles and robots. This work presents a stereoscopic omnidirectional camera system for autonomous vehicles which resolves the problem of a limited field of view and provides a 360° panoramic view of the environment. We present a new projection model for these cameras and show that the camera setup overcomes major drawbacks of traditional perspective cameras in many applications.
| Author | : Stein, Denis |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 168 |
| Release | : 2018-06-26 |
| Genre | : |
| ISBN | : 3731507439 |
Download Mobile laser scanning based determination of railway network topology and branching direction on turnouts Book in PDF, ePub and Kindle
| Author | : Henning Lategahn |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 146 |
| Release | : 2014 |
| Genre | : Computers |
| ISBN | : 373150135X |
Download Mapping and Localization in Urban Environments Using Cameras Book in PDF, ePub and Kindle
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.
| Author | : Knorr, Moritz |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 166 |
| Release | : 2018-12-19 |
| Genre | : Calibration |
| ISBN | : 373150765X |
Download Self-Calibration of Multi-Camera Systems for Vehicle Surround Sensing Book in PDF, ePub and Kindle
| Author | : Taş, Ömer Şahin |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 222 |
| Release | : 2023-10-23 |
| Genre | : |
| ISBN | : 3731512998 |
Download Motion Planning for Autonomous Vehicles in Partially Observable Environments Book in PDF, ePub and Kindle
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.
