Criteria

Text:
Display:

Results

Viewing 1 to 30 of 3602
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
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.
2017-04-05
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
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.
2017-04-04
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 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.
2017-04-03 ...
  • 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
2017-01-0108
Zaydounr Y. Rawashdeh, Trong-Duy Nguyen, Rajesh Malhan, Anoop Pottammal
In this work, DSRC capabilities combined with autonomous vehicles' on-board sensors (camera) are used to trigger an Automated Emergency Brake (AEB) for urban traffic light intersection scenario. The system is designed to achieve AEB in two phases, the comfortable brake and the full stop emergency brake. The comfortable brake is applied first based on the content of the Signal Phase and Timing (SPaT) / Map data (MAP) messages received from the Road Side Unit (RSU) at larger distances. And, once the traffic light becomes in the detection field of view of the camera, the output of the camera-based Traffic Light Detection (TLD) and recognition software is fused with the SPaT/MAP content to decide on triggering the full stop emergency brake. On the automated vehicle, the content of the received SPaT/MAP is parsed and communicated through UDP packets to the central processing unit that runs the camera-based TLD software for traffic light state matching and distance calculation.
2017-03-28
Technical Paper
2017-01-0024
Yuto Imanishi, Naoyuki Tashiro, Yoichi Iihoshi, Takashi Okada
In recent years, improvement of in-use fuel economy is required with tightening of exhaust emission regulation. We assume that one of the most effective solutions is ACC (Adaptive Cruise Control), which can control a powertrain in detail more than a driver. We have been developing a fuel saving ADAS application named “Sailing-ACC”. Sailing ACC system uses sailing stop technology which stops the engine fuel injection and disengage clutch when the car do not need acceleration torque. This system has a potential to greatly improve fuel efficiency. In this paper, we present a predictive powertrain state switching algorithm using external information (route information, preceding vehicle information). This algorithm calculates appropriate switching timing to sailing stop mode and acceleration mode to avoid braking loss. To design switching algorithm, we clarify the characteristics of driving technique called “pulse and glide”.
2017-03-28
Technical Paper
2017-01-0037
Xianyao Ping
The heavy-duty vehicles travel with complex driving conditions and long-distance transportation in the mountainous areas. The driver's hysteretic perception to the environment will affect the fuel economy of the vehicle. Unreasonable acceleration and deceleration on the slope will increase the fuel consumption. Improving the performance of the engine and transmission system has limited energy-saving space, and the most fuel-efficient driving assistant systems don't consider the road conditions. In the research, the low space dimensions of the economic driving optimization algorithm with the fast calculation speed is established to plan the accurate and real-time economic driving scheme based on the slope information. The optimization algorithm with less dependence on the experimental data of the fuel consumption characteristics has the good adaptability to most vehicles. For the first drive on the slope, the slope gradient and length are measured and stored.
2017-03-28
Technical Paper
2017-01-0038
Corwin Stout, Milos Milacic, Fazal Syed, Ming Kuang
In recent years, we have witnessed increased discrepancy between fuel economy numbers reported in accordance with EPA testing procedures and real world fuel economy reported by drivers. The debates range from needs for new testing procedures to the fact that driver complaints create one-sided distribution; drivers that get better fuel economy do not complain about the fuel economy, but only the ones whose fuel economy falls short of expectations. In this paper, we demonstrate fuel economy improvements that can be obtained if the driver is properly sophisticated in the skill of driving. Implementation of SmartGauge with EcoGuide into the Ford C-MAX Hybrid in 2013 helped drivers improve their fuel economy on hybrid vehicles. Further development of this idea led to the EcoCoach that would be implemented into all future Ford vehicles.
2017-03-28
Technical Paper
2017-01-0042
Max Maurodias Santos
Advanced driver assistance systems (ADAS) are designed to improve driving safety and reduce driving stress in roads. These systems are applied to maintain safe distance from the car in front, alert driver to objects in their path, alert driver of an unintended departure from the lane or even automatic intervention. According to National Highway Traffic Safety Administration (NHTSA), 94 percent of the immediate reason for the critical pre-crash and often the last failure in the causal chain of events leading up to the crash is assigned to the driver. ADAS testing and rating are a development trend in NHTSA’s New Car Assessment Program (NCAP), which increases the manufactures investment in such solutions. Camera based ADAS solutions for Lane Departure Warning (LDW) requires extensive use of mathematical operations in image processing. Edge detection methods are frequently used in such applications, however noise and outlier reduction are still challenging tasks.
2017-03-28
Technical Paper
2017-01-0039
Toshiya Hirose, Yasufumi OHTSUKA
1. Background Vehicle to vehicle communication system (V2V) can send and receive the vehicle information by wireless communication, and use as a safety driving assist for driver. In particular, it is investigated to clarify appropriate activation timing for assist levels of (a) collision information, (b) collision caution and (c) collision warning. This study focused on the activation timing of collision information, caution and warning with V2V. The experiment carried out with a driving simulator, and this study investigated an effective activation timing for three assist levels. 2. Experimental method The experimental scenario had four situations of (1) “Assist for braking”, (2) “Assist for accelerating”, (3) “Assist for right turn” and (4) “Assist for left turn” in blind intersection. These were set on the basis of data of traffic accidents in Japan. The activation timings of three levels were based on TTI (Time to Intersection) and TTC (Time to Collision).
2017-03-28
Technical Paper
2017-01-0046
Mohamed Aladem, Samir Rawashdeh, Nathir Rawashdeh
To reliably implement driver-assist features and ultimately, self-driving cars, autonomous driving systems will likely rely on a variety of sensor types including GPS, RADAR, LASER range finders, and cameras. Cameras are an essential sensory component because they lend themselves to the task of identifying object types that a self-driving vehicle is likely to encounter such as pedestrians, cyclists, animals, other cars, or objects on the road. A stereo vision system adds the capability of tracking object locations and trajectories relative to the vehicle. This information can be essential for an autonomous driving control system that aims to avoid collisions and localize itself in the street scene. In this paper, we present a visual odometry algorithm based on a stereo-camera to perform localization relative to the surrounding environment for purposes navigation and hazard avoidance. Using a stereo-camera enhances the accuracy with respect to monocular visual odometry.
2017-03-28
Technical Paper
2017-01-0070
Longxiang Guo, Sagar Manglani, Xuehao Li, Yunyi Jia
Autonomous driving technologies can provide better safety, comfort and efficiency for future transportation. Most research in this area main focus on developing sensing and control approaches to achieve autonomous driving functions such as model based approaches and neural network based approaches. However, even if the autonomous driving functions are ideally achieved, the performance of the system is still subject to sensing exceptions. Few research has studied how to efficiently handle such sensing exceptions. In existing autonomous approaches, sensors, such as cameras, radars and lidars, usually need to be full calibrated or trained after mounted on the vehicles and before being used for autonomous driving. A simple unexpected on the sensors, e.g., mounting position or angle of a camera is changed, may lead the autonomous driving function to fail.
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 disparity map estimation algorithms, e.g. stereo matching, rely on stereo images to compute the distance to the surrounding objects in a scene. These algorithms extract features in a pair of stereo images, detect corresponding features, and estimate the distance or range to the features by computing the stereo disparity of the features. However, depending on the image size, content and quality, the detection and classification process might become inaccurate, unstable and slow. In contrast, we employ deep convolutional neural networks to estimate distance maps from stereo images. The network calculates the local disparity in a multi-resolution framework, and fuses the disparity information at different resolutions.
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
2017-01-1635
Mamoru Tsuda
In order to reduce carbon dioxide emission which is a cause of the environmental problem, in particular, global warming, hybrid vehicles, electric vehicles, fuel cell vehicles, and the like have been developed and come into use in the market. These vehicles are equipped with motors as driving force and an inverter for controlling thereof, and in order to efficiently control the inverter, a current sensor for detecting a three-phase AC current with high accuracy is desired. We have been developing high-accuracy high current detecting technology specialized in the current sensor for an inverter, based on the technology of magnetic sensors and magnetic circuits established in the technical field of the rotational sensors and the displacement sensors for automobiles.
Viewing 1 to 30 of 3602

Filter

  • Range:
    to:
  • Year: