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| Author | : Stein, Denis |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 168 |
| Release | : 2018-06-26 |
| Genre | : |
| ISBN | : 3731507439 |
| Author | : Denis Stein |
| Publisher | : |
| Total Pages | : 156 |
| Release | : 2020-10-09 |
| Genre | : Transportation |
| ISBN | : 9781013279188 |
GNSS is often inaccurate and satellite signals are not always available, which results in ambiguous situations. In order to reduce their negative effects on train-borne localization, this work proposes an approach for the detection of tracks, turnouts, and branching directions solely from 2d lidar sensor measurements. The experimental evaluation shows highly correct and complete results. In summary, these detections are sufficient to reduce ambiguity problems in train-borne localization. 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 | : Changfeng Yang |
| Publisher | : Springer Nature |
| Total Pages | : 703 |
| Release | : 2021-06-10 |
| Genre | : Technology & Engineering |
| ISBN | : 9811631425 |
China Satellite Navigation Conference (CSNC 2021) Proceedings presents selected research papers from CSNC 2021 held during 22nd-25th May, 2021 in Nanchang, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 10 topics to match the corresponding sessions in CSNC2021 which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.
| Author | : Schwarze, Tobias |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 158 |
| Release | : 2018-09-25 |
| Genre | : |
| ISBN | : 373150801X |
| Author | : Rabe, Johannes |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 196 |
| Release | : 2019-01-10 |
| Genre | : Augmented reality |
| ISBN | : 3731508540 |
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.
| Author | : Yi, Boliang |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 174 |
| Release | : 2018-08-29 |
| Genre | : |
| ISBN | : 3731507854 |
| Author | : Knorr, Moritz |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 166 |
| Release | : 2018-12-19 |
| Genre | : Calibration |
| ISBN | : 373150765X |
| Author | : Naumann, Maximilian |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 192 |
| Release | : 2021-02-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3731510707 |
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 | : Taş, Ömer Şahin |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 222 |
| Release | : 2023-10-23 |
| Genre | : |
| ISBN | : 3731512998 |
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.
| Author | : Hubmann, Constantin |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 178 |
| Release | : 2021-09-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3731510391 |
This work presents a behavior planning algorithm for automated driving in urban environments with an uncertain and dynamic nature. The algorithm allows to consider the prediction uncertainty (e.g. different intentions), perception uncertainty (e.g. occlusions) as well as the uncertain interactive behavior of the other agents explicitly. Simulating the most likely future scenarios allows to find an optimal policy online that enables non-conservative planning under uncertainty.
