Toward Automated Driving in Cities using Close-to-Market Sensors, an Overview of the V-Charge Project | V-Charge
Home Project Consortium Consortium Overview Technische Universität Braunschweig Robert Bosch GmbH ETH Zurich Autonomous Systems Lab ETH Zurich Computer Vision and Geometry Lab Volkswagen AG University of Oxford Università degli Studi di Parma Publications News
However, the automotive industry has identified significant barriers to the adoption of electric wic texas classes vehicles, including reduced driving wic texas classes range and greatly increased refueling times. Automated wic texas classes cars have the potential to reduce the environmental impact of driving, and increase the safety of motor vehicle travel. The current state-of-the-art in vehicle automation requires a suite of expensive sensors. While the cost of these sensors is decreasing, integrating them into electric cars will increase the price and represent another barrier to adoption.
The V-Charge Project, funded by the European Commission, seeks to address these problems simultaneously by developing an electric automated car, outfitted with close-to-market sensors, which is able to automate valet parking and recharging wic texas classes for integration into a future transportation system. The final goal is the demonstration of a fully operational system including automated navigation and parking.
@inproceedings{furgale_iv13, Address = {Gold Coast, wic texas classes Australia}, wic texas classes Annote = {full-conf-pb}, Author = {Paul Furgale and Ulrich Schwesinger and Martin Rufli and Wojciech wic texas classes Derendarz and Hugo Grimmett and Peter M\"{u}hlfellner and Stefan Wonneberger and Julian Timpner Stephan Rottmann and Bo Li and Bastian Schmidt and Thien Nghia Nguyen and Elena Cardarelli and Stefano Cattani and Stefan Br\"{u}ning and Sven Horstmann and Martin Stellmacher and Holger Mielenz and Kevin K\"{o}ser and Markus Beermann and Christian H\"{a}ne and Lionel Heng and Gim Hee Lee and Friedrich Fraundorfer and Ren\'{e} wic texas classes Iser and Rudolph Triebel and Ingmar wic texas classes Posner and Paul Newman and Lars Wolf and Marc Pollefeys and Stefan Brosig and Jan Effertz and C\'edric Pradalier and Roland Siegwart}, Booktitle = {IEEE Intelligent Vehicles Symposium (IV)}, Month = {23--26 wic texas classes June}, Pages = {809--816}, Title = {{Toward Automated Driving in Cities wic texas classes using Close-to-Market Sensors, an Overview of the V-Charge Project}}, Year = {2013} }
Recent Posts Secure Smartphone-based Registration and Key Deployment for Vehicle-to-Cloud Communications CVG releases an open source library for calibration of multi-camera systems Evaluation of Fisheye-Camera wic texas classes Based Visual Multi-Session Localization wic texas classes in a Real-World Scenario Reciprocal Collision Avoidance With Motion Continuity Constraints Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization
V-Charge wic texas classes is proudly powered by WordPress and BuddyPress . Just another WordPress Theme developed by Themekraft.
Home Project Consortium Consortium Overview Technische Universität Braunschweig Robert Bosch GmbH ETH Zurich Autonomous Systems Lab ETH Zurich Computer Vision and Geometry Lab Volkswagen AG University of Oxford Università degli Studi di Parma Publications News
However, the automotive industry has identified significant barriers to the adoption of electric wic texas classes vehicles, including reduced driving wic texas classes range and greatly increased refueling times. Automated wic texas classes cars have the potential to reduce the environmental impact of driving, and increase the safety of motor vehicle travel. The current state-of-the-art in vehicle automation requires a suite of expensive sensors. While the cost of these sensors is decreasing, integrating them into electric cars will increase the price and represent another barrier to adoption.
The V-Charge Project, funded by the European Commission, seeks to address these problems simultaneously by developing an electric automated car, outfitted with close-to-market sensors, which is able to automate valet parking and recharging wic texas classes for integration into a future transportation system. The final goal is the demonstration of a fully operational system including automated navigation and parking.
@inproceedings{furgale_iv13, Address = {Gold Coast, wic texas classes Australia}, wic texas classes Annote = {full-conf-pb}, Author = {Paul Furgale and Ulrich Schwesinger and Martin Rufli and Wojciech wic texas classes Derendarz and Hugo Grimmett and Peter M\"{u}hlfellner and Stefan Wonneberger and Julian Timpner Stephan Rottmann and Bo Li and Bastian Schmidt and Thien Nghia Nguyen and Elena Cardarelli and Stefano Cattani and Stefan Br\"{u}ning and Sven Horstmann and Martin Stellmacher and Holger Mielenz and Kevin K\"{o}ser and Markus Beermann and Christian H\"{a}ne and Lionel Heng and Gim Hee Lee and Friedrich Fraundorfer and Ren\'{e} wic texas classes Iser and Rudolph Triebel and Ingmar wic texas classes Posner and Paul Newman and Lars Wolf and Marc Pollefeys and Stefan Brosig and Jan Effertz and C\'edric Pradalier and Roland Siegwart}, Booktitle = {IEEE Intelligent Vehicles Symposium (IV)}, Month = {23--26 wic texas classes June}, Pages = {809--816}, Title = {{Toward Automated Driving in Cities wic texas classes using Close-to-Market Sensors, an Overview of the V-Charge Project}}, Year = {2013} }
Recent Posts Secure Smartphone-based Registration and Key Deployment for Vehicle-to-Cloud Communications CVG releases an open source library for calibration of multi-camera systems Evaluation of Fisheye-Camera wic texas classes Based Visual Multi-Session Localization wic texas classes in a Real-World Scenario Reciprocal Collision Avoidance With Motion Continuity Constraints Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization
V-Charge wic texas classes is proudly powered by WordPress and BuddyPress . Just another WordPress Theme developed by Themekraft.
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