PPT-April, 2013 Motion Planning for Multiple Autonomous Vehicles

Rahul Kala Introduction rkala99korg Autonomous Vehicles rkala99korg Software Architecture Sensor Environment understanding Sensor fusion Localization Planning Control Motion Map Mission. . Vehicles. Let the . car. do the . driving. !. P&O 2010 Dennis Bevers. Recent . Projects. Audi TTS . High speed . Pikes. . Peak. . hillclimb. Top . Gear. BMW 330i. Self. . driving. . predefined. Chris Schwarz. National Advanced Driving Simulator. Acknowledgements. Mid-America Transportation Center. 1 year project to survey literature and report on state of the art in autonomous vehicles. Co-PI: Prof. . Core:. Recapped . our general planning . strategy . that does a coarse space-time decoupled planning, followed by a . focused spatiotemporal . trajectory search. Extended our prior work to apply edge-augmented graph search to approximate the underlying path smoothing and nudging optimizations (continuous) that are needed for autonomous on-road . The current state of Cybersecurity. A presentation given to the. Self Driving and Autonomous. Vehicle Technology. meetup . group at the Brighton Digital. Catapult on January 20. th. 2017. Provides high-level overview of issues around cybersecurity of Connected Cars and what automotive industry is doing to address the problem. Core:. Developed a motion planner for on-road swerve . maneuvers. Developed a reinforcement learning (RL) formulation that learns human driving . patterns . in simulation . playback. Recorded human driving . Amato Evan. Scripps Institution of Oceanography, University of California San Diego, USA. Key Questions. What are the spatial, temporal, and microphysical characteristics of dust over California, and what are the primary source regions for these mineral aerosols?. Lecture 3.1:. 3D Geometry. Jürgen . Sturm. Technische. . Universität. . München. Points in 3D. 3D . point. Augmented . vector. Homogeneous coordinates. Jürgen Sturm. Autonomous Navigation for Flying Robots. Machine ethics. AV. Can a machine “decide” anything?. 2. If a small tree branch pokes out onto a highway and there’s no incoming traffic, we’d simply drift a little into the opposite lane and drive around it. But an automated car might come to a full stop, as it dutifully observes traffic laws that prohibit crossing a double-yellow line. This unexpected move would avoid bumping the object in front, but then cause a crash with the human drivers behind it. Rahul Kala. Introduction. rkala.99k.org. Autonomous Vehicles. rkala.99k.org. Software Architecture. Sensor. Environment understanding. Sensor fusion. Localization. Planning. Control. Motion. Map. Mission. Bernard Soriano . and . Stephanie Dougherty. California Legislation – Senate Bill 1298. As soon as practicable, but no later than Jan. 1, 2015, DMV must adopt regulations setting forth requirements for:. Rahul Kala. Dynamic Distributed Lanes. Presentation of the paper: . R. Kala, K. Warwick (2014) Dynamic Distributed Lanes: Motion Planning for Multiple Autonomous Vehicles, Applied . Intelligence, DOI: . . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Lecture 2.3:. 2D Robot Example. Jürgen . Sturm. Technische. . Universität. . München. 2D . Robot. Robot is . located somewhere . in space. Jürgen Sturm. Autonomous Navigation for Flying Robots. AcknowledgementsSupport from UNIDIRs core funders provides the foundation for all of the Institutes activitiesIn addition dedicated project funding was received from the governments of the Netherlands