TCAP-Auto2015-2017
RTC-2015-3942-4

Progress towards integrated, robust and reliable Advanced Driver Assistance Systems (ADAS) will accelerate the market trend towards highly automated vehicles. This leads to the proliferation of different sensors with high performance and affordable cost -such as radar, lidar, cameras and ultrasounds-, which are already being embedded on vehicles. The high amount of information produced by these sensors, plus the heterogeneous data received through communications V2X (vehicle-vehicle and vehicle-infrastructure), hinders the implementation of traditional process technologies (CPU). Therefore, the takeoff of autonomous driving systems apparently depends on both hardware and software technological improvements.

TCAP-Auto aims to develop a set of tools for implementing, combining, integrating and validating different functionalities for the implementation of ADAS on embedded systems with multicore technology, or MPSoC (Multi-Processor System on Chip).


IoSense2015-2018
PCIN-2015-123
Aim of IoSense is to boost the European competitiveness of ECS industries by increasing the pilot production capacity and improving Time-to-Market for innovative microelectronics, accomplished by establishing three fully connected semiconductor pilot lines in Europe: two 200mm frontend (Dresden and Regensburg) and one backend (Regensburg) pilot lines will be facilitated to enable the production of innovative sensor system components. Focus will be on the availability of top innovative, competitive sensors and sensor systems “Made in Europe” for applications in Smart Mobility, Society, Energy, Health and Production. IoSense will increase the manufacturing capacity of sensor/MEMS components in the involved pilot lines by factor of 10 while reducing manufacturing cost and time by 30%. IoSense is designed to enable focused development work on technological as well as application oriented tasks combining with market orientation. “Design to Market Needs” will be accomplished by customer involvement, embedding all required functionality besides sensors. Finally, the time for idea-to-market for new sensor systems is intended to be brought down to less than one year. IoSense aims to cooperate with other highly specialized manufacturing lines and other European pilot lines focusing on different technologies. As a result, semiconductor manufacturing will get a new boost in Europe enabling the industry with competitive solutions, securing employment and providing answers to the upcoming challenges in the IoT era.

Demonstration El Escorial-Arganda2012
A vehicle of Autopía ran driverless 100 kilometers from Madrid roads. A leading manual vehicle dynamically generated a high precision map to be tracked by the fully autonomous following car. The journey covered a wide range of driving scenarios, including urban zones, secondary roads and highways, in standard traffic conditions.

GUIADE: R&D Spanish National Project2009-2012
GUIADE project aimed at building a positioning and guiding system for automated public transportation vehicles, based on multimodal perception of the environment that encompasses both infrastructure-based information and data collected by the vehicles themselves. The ultimate goal of the project was to optimize their the system efficiency in terms of energy consumption, environmental impact, safety and quality of public transportation services.

CyberCars 2: an FP6 ICT STREP Project2006-2009
This project was driven by the vision that, in the short term future, Cybernetic Transport Systems based on fully automated urban vehicles will be seen on city roads and on new dedicated infrastructures. The goal of the project was to enhance vehicle-vehicle and vehicle-infrastructure communications and vehicle coordination in order to obtain smart and secure interaction in urban areas, in particular the cooperation between vehicles running at close range (platooning) and at intersections (merging, crossing).

Grand Cooperative Driving Challenge2011
International teams competing to deliver the most effective cooperative vehicle-infrastructure system in predetermined traffic scenarios: that is the Grand Cooperative Driving Challenge. An international and unique challenge in the field of cooperative driving. The GCDC aims to accelerate the implementation of these systems and contribute significantly to alleviate traffic problems worldwide. To that end, a predefined scenario was enacted and shock wave damping tests with CACC vehicles were performed. The primary focus was on driving in close proximity to the vehicle in front (fuel reduction) and on maintaining smooth traffic flow (throughput).

Ver el perfil de Programa AUTOPIA en LinkedIn Suscribirse a mi canal en YouTube
AUTOPIA Program. Center for Automation and Robotics (UPM-CSIC)
Ctra de Campo Real, km. 0,200 (28500) Arganda del Rey, Madrid, España.
autopia@car.upm-csic.es
2016
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