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Montemerlo, Michael; Becker, Jan; Bhat, Suhrid; Dahlkamp, Hendrik; Dolgov, Dmitri; Ettinger, Scott; Haehnel, Dirk; Hilden, Tim; Hoffmann, Gabe; Huhnke, Burkhard; Johnston, Doug; Klumpp, Stefan; Langer, Dirk; Levandowski, Anthony; Levinson, Jesse; Marcil, Julien; Orenstein, David; Paefgen, Johannes; Penny, Isaac; Petrovskaya, Anna; Pflueger, Mike; Stanek, Ganymed; Stavens, David; Vogt, Antone; Thrun, Sebastian

doi:10.1002/rob.v25:9

Cited by 217 publications

(7 citation statements)

References 60 publications

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“…In contrast to earlier scenarios, the Urban Challenge required vehicles to autonomously move in an urban environment, complying with complex traffic rules and interacting with other autonomous and non-autonomous vehicles. The Technische Universität Braunschweig also competed in the final of the DARPA Urban Challenge [9].…”

Section: Outlinementioning

confidence: 99%

A back-end system for an autonomous parking and charging system for electric vehicles

Timpner

Wolf

2012

2012 IEEE International Electric Vehicle Conference

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Electric vehicles must be easy to use to be accepted by customers and to be successful on the market. One important part of this is the need for comfortable charging and parking. Especially if the charging of a vehicle takes a certain amount of time, a good solution to simplify the life of the customer is necessary. The V-Charge project has the vision to provide a solution by combining autonomous valet parking with emobility, introducing improved parking and charging comfort to increase customer acceptance of electric vehicles. V-Charge proposes a solution for charging autonomous electric vehicles in parking places and efficiently using scarce charging resources. For the management of the overall system and the provided resources, a server back-end and a communication infrastructure are provided. In this paper, we present our design of a central server back-end that handles the assignment of free parking spots to autonomous electric vehicles and implements scheduling concepts for a coordinated charging strategy. A typical scenario of such a concept might be the automatic drop-off and recovery of a car in front of an airport terminal without taking care of parking or charging in person.

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Section: Outlinementioning

confidence: 99%

A back-end system for an autonomous parking and charging system for electric vehicles

Timpner

Wolf

2012

2012 IEEE International Electric Vehicle Conference

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“…Global navigation takes into account the problem of guide the robot from an initial configuration q init to a final configuration q goal . Focusing on local navigation approaches to avoid localization problems [1], the global navigation task will be divided in two local tasks: road lane following and road intersection maneuvers. At this section, both navigation will be presented using a routing table, as the one of the Section III, to solve and improve the navigation problems.…”

Section: Global Navigationmentioning

confidence: 99%

“…However, as the surrounding becomes more complex, so does the localization problem. Even with differential corrections, the GPS information fails when the urban environment has structures like tall buildings, overpasses and tunnels [1]. One way to solve this problem is to use a navigation system that do not depend on accurate localization information.…”

Section: Introductionmentioning

confidence: 99%

Autonomous vehicle global navigation approach associating sensor based control and digital maps

Pereira

Lima

Victorino

2014

2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)

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This paper proposes a global navigation strategy for autonomous vehicle combining sensor based control and digital maps information. In order to avoid localization problems in urban environments, this approach intends to solve the global navigation focusing on two local navigation tasks: road lane following and road intersection maneuvers. For that, it is important to use digital maps, once they provide a rich database containing information about the environment structure, like speed limit, number of lanes, traffic directions, etc. Associating the data extracted from the digital map with local navigation approaches, the vehicle is able to perform its global navigation task. The experiments take into account real data and a simulated scenario, which show the viability of this approach.

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“…In the CarOLO project, we developed and used a specialized software framework for system simulations as outlined in [2] and [13]. However, this framework had some design drawbacks.…”

Section: The Hesperia Framework -An Integrated Approach For a Virtualmentioning

confidence: 99%

“…Fig. 1: A front and rear view of the vehicle "Caroline", an autonomously driving vehicle for urban environments (based on [13]).…”

Section: Introductionmentioning

confidence: 99%

Engineering Autonomous Driving Software

Berger¹,

Rumpe

2011

Experience From the DARPA Urban Challenge

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A larger number of people with heterogeneous knowledge and skills running a project together needs an adaptable, target, and skill-specific engineering process. This especially holds for a project to develop a highly innovative, autonomously driving vehicle to participate in the 2007 DARPA Urban Challenge. In this contribution, we present essential elements of a software and systems engineering process to develop a so-called artificial intelligence capable of driving autonomously in complex urban situations. The process itself includes agile concepts, like a test first approach, continuous integration of all software modules, and a reliable release and configuration management assisted by software tools in integrated development environments. However, one of the most important elements for an efficient and stringent development is the ability to efficiently test the behavior of the developed system in a flexible and modular system simulation for urban situations both interactively and unattendedly. We call this the simulate first approach.

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Cited by 217 publications

References 60 publications

A back-end system for an autonomous parking and charging system for electric vehicles

A back-end system for an autonomous parking and charging system for electric vehicles

Autonomous vehicle global navigation approach associating sensor based control and digital maps

Engineering Autonomous Driving Software

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