Keynote Speech I
-
Navigation Systems Interacting with other Vehicle Electronic Control Units
Dr.-Ing. Luis Arévalo
Vice President
Car Multimedia, Automotive Navigation and Infotainment Systems, Robert Bosch GmbH
Leonberg, Germany
Monday, September 5th 2010, 09:15 h - 10:15 h
Abstract:
Automotive navigation systems are in the process of evolving beyond the conventional
route calculation and guidance, e. g., providing the fastest (or shortest) path from
A to B.
The precision arising from multi-sensor location methods, the availability of digital maps enriched with additional attributes, and last but not least the computational power of state-of-the-art infotainment platforms allow to extend the use of the core navigation software, i. e., to implement new added-value functions either within the infotainment head-unit (HU) or in other inter-connected electronic control units (ECUs) in the vehicle. These new functions aim at increasing the driver's comfort (assistance) and optimizing the energy management / reducing the fuel consumption.
The basis for these functions is the so-called electronic horizon (EH), a permanently updated preview of road and traffic scenario ahead of the vehicle's position (most probable path). The EH is calculated within the navigation and can be used either internally or by other ECUs in the car after being published, e.g., via a CAN interface.
The keynote speech gives an overview of the system architecture, provides insight in the locator performance and the calculation of the EH, and shows examples of new vehicle applications.
Keynote Speech II
-
UTDrive: Advances in Human-Machine Systems to Reduce Driver Distraction for In-Vehicle Environments
Prof. Dr. John H.L. Hansen
VRSS: Center for Robust Speech Systems, Department of Electrical Engineering
Erik Jonsson School of Engineering & Computer Science
University of Texas at Dallas, USA
Monday, September 5th 2010, 18:00 h - 19:00 h
Abstract:
In this talk, we consider recent work from the NEDO funded UTDrive and previously DARPA supported CU-Move projects to effectively utilize multimodal information for improved in-vehicle systems. The multimodal information spans a "rich" data set obtained while driving a vehicle such as audio, video, driver's biometric information, brake/gas pedal pressure, steering wheel angle, vehicle speed, GPS information, and others. UTDrive is contributing to international standards for driver behavior modeling to reduce distraction for information access. Here, we consider (i) array processing schemes and how they can be used to improve speech quality and speech recognition performance, and (ii) driver behavior modeling using integrated CAN-bus vehicle signal data (steering angle, speed, etc.) to assess distraction. The results illustrated directions for improved modeling of driver behavior for in-vehicle systems.
Keynote Speech III
-
Intelligence in Vehicles
Dr. Arne Bartels
Volkswagen Group Research
Driver Assistance & Integrated Safety
Wolfsburg, Germany
Thuesday, September 6th 2010, 08:30 h - 09:30 h
Abstract:
The talk will focus on the need of intelligence in vehicles for future driver assistance systems and semi automated driving functionalities. System components for these intelligent systems like environment sensors, sensor data fusion, trajectory planning and driver state recognition will be discussed. Some examples for recent projects and demonstrator vehicles of the Volkswagen group research will be given.
Keynote Speech IV
-
Speech Enhancement in Car Applications - Any Specifics?
Prof. Dr.-Ing. Tim Fingscheidt
Institute for Communications Technology
Technische Universität Braunschweig
Braunschweig, Germany
Wednesday, September 7th 2010, 08:30 h - 09:30 h
Abstract:
The talk will provide some views on speech enhancement algorithms in the context of automotive applications. In particular, the question will be raised: What is specific in the car? What challenges and what opportunities do we have to perform research on improved digital speech processing algorithms for speech enhancement in the quite unique vehicle environment?
Specific algorithmic solutions for in-car speech enhancement will be presented in mainly three fields:
- Artificial speech bandwidth extension,
- noise reduction, and
- speech quality measurement.