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2017-04-20 ...
  • April 20-21, 2017 (8:30 a.m. - 4:30 p.m.) - Troy, Michigan
  • October 12-13, 2017 (8:30 a.m. - 4:30 p.m.) - Troy, Michigan
Training / Education Classroom Seminars
Data acquisition is required throughout the product's life cycle - in prototype performance evaluation, reliability/durability testing, duty-cycle analysis, end of line testing, and service and aftermarket product areas. Both lab and on-road testing are needed for components, sub-systems and entire vehicles. As in-vehicle networks become increasingly more sophisticated in terms of the number of controllers, the speed at which they communicate, and the number of parameters available, they are a virtual goldmine for the test engineer.
2017-04-11
Book
This is the electronic format of the Journal.
2017-04-06
Event
Topics cover actuator and sensor mechanisms, devices, and systems; and the impact and control of such actuation and sensing systems on Powertrain thermodynamics, combustion, fuel economy, emissions, and performance.
2017-04-05
Event
Advanced Driver Assistance Systems (ADAS) are gaining major importance all vehicle segments. The effectiveness of these systems is based upon the ability to not only sense the outside world and the ability to use the information intelligently. In this one-day session the sensing technologies and systems will be covered in the morning and the algorithms and applications will be discussed in the afternoon.
2017-04-05
Event
Modern automotive customers need safer vehicles with little or no impact to the environment. The purpose of this session is to present the latest research and development on novel sensors, actuators, and circuits that are critical to deliver the function of today's complex automotive systems.
2017-04-05
Event
Modern automotive customers need safer vehicles with little or no impact to the environment. The purpose of this session is to present the latest research and development on novel sensors, actuators, and circuits that are critical to deliver the function of today's complex automotive systems.
2017-04-05
Event
Internet of Things joins everything: the customer, the OEMs, the Suppliers, hardware, software, safety, security, networks, storage, cloud and anything else you can think of connected to the internet. There are changes in paradigms, products, business models, sheer volume of data and the speed in which everything works. Learn about the technologies, strategies, integration, standards, products, needs, predictions and societal changes that IoT is driving. Meet the people that make it happen.
2017-04-04
Event
This session focuses on engine combustion and flow diagnostic development and demonstration. Examples of diagnostics of interest include, but are not limited to: LIF, PLIF, absorption/emission spectroscopy, ion probes, pressure sensors, and extractive and exhaust gas composition sensors.
2017-04-04
Event
Advanced Driver Assistance Systems (ADAS) are gaining major importance all vehicle segments. The effectiveness of these systems is based upon the ability to not only sense the outside world and the ability to use the information intelligently. In this one-day session the sensing technologies and systems will be covered in the morning and the algorithms and applications will be discussed in the afternoon.
2017-04-04
Event
This session presents papers by leading experts in the field of Intelligent Vehicle Technologies, such as: vehicle communications and networks, driver drowsiness and driving pattern detection, sensors and GPS, vehicle and chassis control and autonomous vehicles, route prediction, head-up displays and power transmission for electric vehicles.
2017-04-04
Event
Advanced Driver Assistance Systems (ADAS) are gaining major importance all vehicle segments. The effectiveness of these systems is based upon the ability to not only sense the outside world and the ability to use the information intelligently. In this one-day session the sensing technologies and systems will be covered in the morning and the algorithms and applications will be discussed in the afternoon.
2017-04-03 ...
  • April 3-4, 2017 (8:30 a.m. - 4:30 p.m.) - Detroit, Michigan
Training / Education Classroom Seminars
Every year, the U.S. experiences more than 32,000 traffic deaths and over 3.8 million crash injuries. While the trend in traffic deaths has been downward for the past decade, most of this reduction has been the result of optimizing passive occupant crash protection systems such as seatbelts and airbags. Advanced driver assistance systems (ADAS) now offer the potential to significantly reduce or eliminate most vehicle crashes by perceiving a dangerous situation before the crash has occurred and taking action to avoid or mitigate the crash.
2017-03-28
Technical Paper
2017-01-0027
Li Xu, Eric Tseng, Thomas Pilutti, Steven Schondorf
Reversing a vehicle while towing a trailer can be challenging for many drivers, particularly for those who only tow on an occasionally basis. Systems used to assist a driver with backing a trailer typically estimate the heading angle of the trailer relative to that of the vehicle, i.e., the hitch angle. In the current Ford Trailer Backup Assist (TBA) system, the hitch angle is determined utilizing the existing reverse camera with added software in the image processing module. One potential issue for the vision-based hitch angle estimation approach is that environment factors may limit the system usage, since either the camera lenses or the target may be blocked or partially blocked. Furthermore, it is very difficult to apply the vision-based approach to gooseneck or fifth wheel trailers. In this paper, a yaw rate based hitch angle observer is proposed as an alternative sensing solution for TBA.
2017-03-28
Technical Paper
2017-01-0040
Michael Hafner, Thomas Pilutti
We propose a steering controller for automated trailer backup, which can be used on tractor-trailer configurations including fifth wheel campers and gooseneck style trailers. The controller steers the trailer based on real-time driver issued trailer curvature commands. We give a stability proof for the hierarchical control system, and demonstrate robustness under a specific set of modeling errors. Simulation results are provided along with experimental data from a test vehicle and 5th wheel trailer.
2017-03-28
Technical Paper
2017-01-1640
Peng Liu, Liyun Fan, Wenbo Peng, Xiuzhen Ma, Enzhe Song
A novel high-speed electromagnetic actuator for electronic fuel injection system of diesel engine is proposed in this paper. By using permanent magnet and annular flange, the design of novel actuator aims to overcome the inherent drawbacks of the conventional solenoid electromagnetic actuator, such as high power consumption and so on. The finite element model (FEM) of novel actuator is developed. Combined with design of experiments and finite element analysis, the second order polynomial response surface models (RSM) of electromagnetic force of novel actuator are produced by the least square principle. Then the influence mechanisms and interaction effects of key design variables on the electromagnetic characteristics of novel actuator are revealed by RSM.
2017-03-28
Technical Paper
2017-01-0050
Mario Berk, Hans-Martin Kroll, Olaf Schubert, Boris Buschardt, Daniel Straub
With increasing levels of driving automation, the information provided by automotive environment sensors becomes highly safety relevant. A correct assessment of the sensor’s reliability is therefore crucial for ensuring the safety of the customer functions. There are currently no standardized procedures or guidelines for demonstrating the reliability of the sensor information. Engineers are faced with setting up test procedures and estimating efforts. Statistical hypothesis tests are commonly employed in this context. In this contribution, we present an alternative method based on Bayesian parameter inference, which is easy to implement and whose interpretation is more intuitive for engineers without a profound statistical education. It also enables a more realistic representation of dependencies among errors.
2017-03-28
Technical Paper
2017-01-0044
Roman Schmied, Gunda Obereigner, Harald Waschl
In the field of advanced driver assistance systems (ADAS) the capability to accurately estimate and predict the driving behavior of surrounding traffic participants has shown to enable significant improvements of the respective ADAS in terms of economy and comfort. The interaction between the different participants can be an important aspect. One example for this interaction is the car-following behavior in dense urban traffic situations.There are different phenomenological or psychological models of human car following which also consider variations between different participants. Unfortunately, these models can seldom be applied for control directly or prediction in vehicle applications. A different way is to follow a control oriented approach, to model the human as a time delay controller which tracks the inter-vehicle distance. The parameters are typically chosen based on empirical rules and do not consider variations between drivers.
2017-03-28
Technical Paper
2017-01-0071
Vahid Taimouri, Michel Cordonnier, Kyoung Min Lee, Bryan Goodman
While operating a vehicle in either autonomous or occupant piloted mode, an array of sensors can be used to guide the vehicle including stereo cameras. The state-of-the-art distance map estimation algorithms, e.g. stereo matching, usually detect corresponding features in stereo images, and estimate disparities to compute the distance map in a scene. However, depending on the image size, content and quality, the feature extraction process can become inaccurate, unstable and slow. In contrast, we employ deep convolutional neural networks, and propose two architectures to estimate distance maps from stereo images. The first architecture is a simple and generic network that identifies which features to extract, and how to combine them in a multi-resolution framework. The second architecture is a more specialized one that extracts local similarity information from two images, which are used for stereo feature matching, and fuses them at multiple resolutions to generate the distance map.
Viewing 1 to 30 of 3623

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