Philipp Dittmann’s research while affiliated with University of Bremen and other places

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Publications (5)


Fig. 5. Simulated maneuver generated by the motion planner involving an inversion of the driving direction and considering the predicted motion of a moving object (approximated by red circles). The colored points describe the past trajectories of both vehicles with the colors representing the speed values at the corresponding time. Data about the vehicle environment is given in black, the automatically generated free-space polygon is shown in orange and the (dynamic) Voronoi edges in green accordingly.
Fig. 6. A vehicle steered by the OPA 3 L software in Borgfeld, a suburb of Bremen, within the CARLA simulator.
Fig. 8. Sensor data displayed in the remote control center. LiDAR scans are rendered as point clouds, cameras are mapped to planes.
Fig. 9. c GeoBasis-DE / Landesamt GeoInformation Bremen 2019. Driven route (yellow) overlaid with the lanes (red) provided by the strategic decision making. The route starts in the east and leads to a turning circle to the west. After passing through it, the route returns to the starting point.
Fig. 10. Example of the evidential dynamic map. Green areas are observed as free, static cells are marked red, while dynamic cells are blue. Cyan represents areas with no information in the current scan, where previously information was available. There are three dynamic objects in the scene, which are detected and marked with a purple bounding box. Additionally there are a number of parked vehicles, which are correctly excluded from the detection.

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The OPA 3 L System and Testconcept for Urban Autonomous Driving
  • Conference Paper
  • Full-text available

October 2022

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39 Reads

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6 Citations

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AutoBiomes: procedural generation of multi-biome landscapes

October 2020

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3,394 Reads

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16 Citations

The Visual Computer

Advances in computer technology and increasing usage of computer graphics in a broad field of applications lead to rapidly rising demands regarding size and detail of virtual landscapes. Manually creating huge, realistic looking terrains and populating them densely with assets is an expensive and laborious task. In consequence, (semi-)automatic procedural terrain generation is a popular method to reduce the amount of manual work. However, such methods are usually highly specialized for certain terrain types and especially the procedural generation of landscapes composed of different biomes is a scarcely explored topic. We present a novel system, called AutoBiomes, which is capable of efficiently creating vast terrains with plausible biome distributions and therefore different spatial characteristics. The main idea is to combine several synthetic procedural terrain generation techniques with digital elevation models (DEMs) and a simplified climate simulation. Moreover, we include an easy-to-use asset placement component which creates complex multi-object distributions. Our system relies on a pipeline approach with a major focus on usability. Our results show that our system allows the fast creation of realistic looking terrains.



VaMEx-VTB A Modular Virtual Tesbed for Multimodal Autonomous Planetary Missions

October 2019

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340 Reads

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3 Citations

The "VaMEx - Valles Marineris Explorer" initiative is part of the DLR Explorer Initiatives. As such it is an interdisciplinary research program funded by the DLR Space Administration aimed at developing new concepts, algorithms and hardware for swarm-based exploration of the Valles Marineris on Mars. This includes a hominid robotic platform (project VaMEx-VIPe), autonomous swarm navigation including ground vehicles and UAVs (project VaMEx-CoSMiC) that rely on a local positioning and landing system (project VaMEx-LAOLa), and orbital support (VaMEx-NavComNet) serving as a science data, telemetry and telecommand relay between Earth and the in-situ elements and providing near real-time position updates to the other elements. Real validation and verification tests for such complex navigation and exploration systems are difficult, expensive and time-consuming because they require the availability of hardware, realistic environments and software-in-the-loop. In this paper, we present VaMEx-VTB, a virtual testbed (VTB) that enables the verification and validation of such large and complex interdisciplinary research projects during very early phases. The basic idea of VaMEx-VTB is to provide a common software platform for all modules in combination with a sophisticated user-definable computer simulation thereby it helps reducing expensive and time-consuming physical testing. Additionally, it can serve as an integration and discussion hub during the development process. The VTB allows users to configure various aspects of the test scenarios and the test environment, such as physical parameters, atmospheric conditions, or terrain features. This is essential especially for extraterrestrial planetary missions that are difficult to reconstruct on earth. Finally, a sophisticated graphical feedback, based on a state-of-the-art game engine, allows an easy and direct interaction of the engineers with the test case in the VTB. Our modular design based on ROS supports consistent data access for all components. So far, we have implemented a realistic simulation of the relevant environmental parameters and created an adjustable model of the Valles Marineris terrain, based on the HiRISE data. Additionally, the VTB synthesizes realistic sensor input for several algorithms running on the swarm elements. The modular design concept also qualifies the VTB to serve as a testing platform for other extraterrestrial missions in the future.

Citations (5)


... In particular, the ⊞-operator is used to generate the sigma points in (37), the measurement function h : S → Z in (38) is defined on manifold spaces, and the iterative algorithm of Table 1 is applied to compute the expected measurement in (39). Furthermore, the ⊟-operator is utilized to determine the difference between the sigma points and the expected measurement in the QR decomposition in (40) and in the Cholesky up-or downdate in (41). The same applies to the calculation of the cross-covariance in (42), where the ⊟-operator is used as well. ...

Reference:

The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds
The OPA 3 L System and Testconcept for Urban Autonomous Driving

... [30] describe a VR experience to integrate, validate and test use cases in the field of satellite integration and verification process. In [31], a virtual testbed for planning planetary swarm-based exploration missions is introduced to allow users to interact with simulated sensor output for a swarm of different spacecraft. ...

VR-Interactions for Planning Planetary Swarm Exploration Missions in VaMEx-Vtb

... Existing literature employs a diverse range of approaches to tackle landscape generation. For instance, PCG techniques are leveraged to automatically model urban forestry [32] and multi-biome landscapes [13]. The genetic algorithm is applied for systematic optimizations [12,46]. ...

AutoBiomes: procedural generation of multi-biome landscapes

The Visual Computer

... In order to identify design gaps and inconsistencies at an early stage of mission planning, we have developed a virtual testbed (VaMEx-VTB) [1], [2] that simulates the communication interfaces, sensor input, and important physical properties of the local topography in a virtual environment. This allows the project partners to test their systems' software components before a real-world field test, diagnose flaws, and correct them already at the initial research stages. ...

VaMEx-VTB A Modular Virtual Tesbed for Multimodal Autonomous Planetary Missions