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Viewing 31 to 60 of 22870
2016-09-20
Technical Paper
2016-01-2023
Timothy Deppen, Brian Raczkowski, Marco Amrhein, Jason Wells, Eric Walters, Mark Bodie, Soumya Patnaik
Future aircraft systems are projected to have order of magnitude greater power and thermal demands, along with tighter constraints on the performance of the power and thermal management subsystems. This trend has led to the need for a fully integrated design process where power and thermal systems, and their interactions, are considered simultaneously. To support this new design paradigm, the power quality analysis framework, developed previously, has been augmented to include thermal specifications. MIL-STD-2218 defines thermal design and cooling analysis requirements for airborne electrical equipment, while MIL-STD-704 defines transient, steady-state, and frequency-domain metrics for power quality. The proposed framework augments the power quality analysis framework developed for MIL-STD-704 and others, with a mathematical interpretation of the requirements given in MIL-STD-2218.
2016-09-20
Technical Paper
2016-01-2067
Qingchuan Shi, Kartik Lakshminarashimhan, Christopher Noll, Eelco Scholte, Omer Khan
Modern aircraft systems employ numerous processors to achieve system functionality. In particular engine controls and power distribution subsystems rely heavily on software to provide safety-critical functionality and are expected to move towards multicore architectures. The computing hardware-layer of avionic systems must be able to execute many concurrent workloads under tight deterministic execution guarantees to meet the safety standards. Single-chip multicores are attractive for safety-critical embedded systems due to their lightweight form factor. However, multicores aggressively share hardware resources, leading to interference that in turn creates non-deterministic execution for multiple concurrent workloads. We propose an approach to remove on-chip interference via a set of methods to spatio-temporally partition shared multicore resources.
2016-09-20
Technical Paper
2016-01-2064
Shashank Krishnamurthy, Stephen Savulak, Yang Wang
The emergence of wide band gap devices has pushed the boundaries of power converter operations and high power density applications. It is desirable to operate a power inverter at high switching frequencies to reduce passive filter weight and at high temperature to reduce the cooling system requirement. The paper describes the design and test of a power electronic converter that converts a fixed input DC voltage to a variable voltage variable frequency three phase output. The component selection and design were constrained such that the converter can operate at and ambient temperature of 170C. The design of the key functional components such as the gate drive, power module, controller and communication will be discussed in the paper. Test results for the converter at high temperature will also be presented.
2016-09-20
Technical Paper
2016-01-2051
Andreas Himmler, Lars Stockmann, Dominik Holler
The application of a communication infrastructure for hybrid test systems is currently a topic in the aerospace and automotive industries. The demand for such a communication infrastructure is driven by the users’ need to run tests on hybrid test systems. These consist of individual, coupled test systems, each dedicated to different, even diverse needs. In the aerospace industry, there is a growing demand for modularity. Future laboratory tests means (LTM) must be scalable and exchangeable for maximum flexibility. Due to their very nature, hybrid test systems are used as integration test systems for large portions of the electronics of an aircraft (e.g., avionics, cabin) or even the complete aircraft electronics. Thus, these integration test systems need to handle high numbers of I/O channels and bus data. In order to make such test systems manageable and to enable a flexible use (e.g., to use only parts of such a system for dedicated tasks), using modular test systems makes sense.
2016-09-20
Technical Paper
2016-01-2052
Virgilio Valdivia-Guerrero, Ray Foley, Stefano Riverso, Parithi Govindaraju, Atiyah Elsheikh, Leonardo Mangeruca, Gilberto Burgio, Alberto Ferrari, Marcel Gottschall, Torsten Blochwitz, Serge Bloch, Danielle Taylor, Declan Hayes-McCoy, Andreas Himmler
This paper presents an overview of a project called “Modelling and Simulation Tools for Systems Integration on Aircraft (MISSION)”. This is a collaborative project being developed under the European Union Clean Sky 2 Program, a public-private partnership bringing together aeronautics industrial leaders and public research organizations based in Europe. The provision of integrated modelling, simulation, and optimization tools to effectively support all stages of aircraft design remains a critical challenge in the aerospace industry. In particular the high level of system integration that is characteristic of new aircraft designs is dramatically increasing the complexity of both design and verification. Simultaneously, the multiphysics interactions between structural, electrical, thermal, and hydraulic components have become more significant as the systems become increasingly interconnected.
2016-09-20
Technical Paper
2016-01-1976
Kiran Thupakula, Adishesha Sivaramasastry
Aviation safety is one of the key focus areas of the aerospace industry as it involves safety of passengers, crew, assets etc. Due to advancements in technology, aviation safety has reached to safest levels compared to last few decades. In spite of declining trends in in-air accident rate, ground accidents are increasing due to ever increasing air traffic and human factors in the airport. Majority of the accidents occur during initial and final phases of the flight. Rapid increase in air traffic would pose challenge in ensuring safety and best utilization of Airports, Airspace and assets. In current scenario multiple systems like Runway Debris Monitoring System, Runway Incursion Detection System, Aircraft Strike Alert System in taxiways, Obstacle avoidance system, Traffic Collision Avoidance System are used for collision prediction and alerting in airport environment.
2016-09-19
Book
This is the electronic format of the Journal.
2016-09-14
Technical Paper
2016-01-1895
Xin Bi, Zheng Ma, Wei Wang, Jinsong Du
Abstract—A 24GHz multi-function short range radar has been developed for advanced driver assistant system, which includes different modes in Blind Spot Detection (BSD), Lane Change Assist (LCA), Doors Open Warning (DOW) and Rear Cross Traffic Alert (RCTA). The multi-function radar is based on the micro-strip antenna, which has a reasonable design on main-lobe and side-lobes. According the antenna, the radar can operate in long-range mode with a high gain and a narrow beam width, whilst performing well in short-range and wide-angle mode. The accuracy and the efficiency of the detection range and angle is compared and validated with single function automotive radar in the test cases. Finally, the applications of a target, for instance, a truck have been simulated and analyzed.
2016-09-14
Technical Paper
2016-01-1905
Gaoming Fang, Hui Chen
Electric Power Steering (EPS) is the actuator of some lateral-dynamic-related Advanced Driver Assistance Systems (ADAS). A driving simulator with an EPS will be much helpful for the ADAS development. However, if a real EPS is used in the driving simulator, it is quite difficult to realize the road reaction force accurately and responsively. To overcome the weakness above, a virtual EPS platform is established in this paper. The virtual EPS platform contains two parts: one is the vehicle and EPS model, the other is the steering force feedback actuator (SFFA) of the Steer-by-Wire (SBW) system. The SFFA is the interface between the driver and the EPS/vehicle model. The reactive torque of the SFFA is obtained based on the models, which should be equivalent to the torque that the driver feels when operating a real EPS. Meanwhile, the input of the EPS model is the steering angle of the SFFA.
2016-09-14
Technical Paper
2016-01-1879
Libo Huang, Liang Chang, Jie Bai, Huanlei Chen PhD
Millimeter-wave automotive radars can prevent traffic accidents and save human lives as they can detect vehicles and pedestrians even in night and in bad weather. Various types of automotive radars operating at 24 and 77 GHz bands are developed for various applications, like adaptive cruise control, blind-spot detection and lane change assistant. In each year, millions of millimeter-wave radar are sold worldwide. Radar signal processing software is one of the key components of the automotive radar. It detects the targets among noise, measures the distance, longitudinal speed and the azimuth angle of the targets, maintains a continuous track of the targets, and controls the ego vehicle to brake or accelerate. Test and analysis of the radar signal processing software on a software testbench is difficult as the software performance is closely related with the radar noise, interference and other unwanted effects.
2016-09-14
Technical Paper
2016-01-1888
Jie Hu, Yehui Li, Jun Cai, Richard Turkson, Feng Lin, Meiyun Qiao
With the development of the society, automobiles have been widely used in various classes of the society, while some issues came out such as traffic safety, environmental pollution and energy shortages and became increasingly serious. It reported that good driving behaviors can be applied to driving assistance, active safety, fuel economy improvement and others aspects to alleviate this problem. This thesis proposed that by way of data acquisition and identification of driving behaviors based on vehicle bus, it can be identified the driver’s driving habit and accelerating intentions through these information without additional sensors. Firstly, K line and CAN line, which are known by the current mainstream vehicle bus, are selected as the research object, then we analyzing communication protocol of bus data link layer, data transport layer and application layer according to the OSI model.
2016-09-14
Technical Paper
2016-01-1870
Jun Ma, Maofei Xu, Yuchun Du
Today’s drivers have to deal with a growing amount of information coming from in-vehicle infotainment systems. The interaction between the driver and the system is critical because it might distract the driver from the primary task of driving. To make the in-car interactions more convenient and intuitive, gestures and gesture recognition are terms increasingly arisen in discussions of human-computer interaction, and application trials of gesture control have appeared more and more in automotive industry. The aim of this study is to find out if gestures can reasonably be used to control in-car devices. Since there exists a big cultural difference of gesture between different countries because of its particularity, a set of gestures which support intuitive human-machine interaction in an automotive environment is searched. The results show a gesture dictionary for a variety of on-board functions, which conforms to Chinese drivers’ driving habits.
2016-09-14
Technical Paper
2016-01-1878
Yuxiang Feng, Pejman Iravani PhD, Chris Brace
The autonomous control strategy of an off-road All-Terrain Vehicle was developed on Robot Operating System (ROS). Both the position estimation and autonomous control were performed on ROS. The quad vehicle is front wheel steered with rear wheel driving, and possesses Ackermann geometry. It was powered by a brushless 36V DC motor. It can be wirelessly controlled through a TP-LINK router. The vehicle only sends out sensory measurements and receives control commands, and all computations are performed on external devices. For the position estimation phase, sensory data from GPS, IMU and wheel odometry were acquired and processed on the platform. In accordance with the ROS architecture, separate packages were developed for each sensor. Afterwards, Extended Kalman filter was performed to fuse these sensory measurements to achieve an optimizing accuracy. Necessary conversion and normalization were also conducted prior to data fusion, such as conversion from LLA to ENU for GPS measurements.
2016-09-14
Technical Paper
2016-01-1901
Zhenyi liu, Weiwen Deng, Yaxin Li, Hao Sun, Xin Li, Ying Wang
Environmental sensing and perception is one of the key technologies on intelligent driving or autonomous vehicles. As a complementary part to current radar and Lidar sensors, ultrasonic sensor has become more and more popular due to its high value to the cost. Different from other sensors mainly based on propagation of electromagnetic wave, ultrasonic sensor possesses some unique features and physical characteristics that bring many merits to autonomous vehicle research, like transparent obstacle and highly reflective surfaces detection. Its low-cost property can further bring down hardware cost to foster widespread use of intelligent driving or autonomous vehicles. To accelerate the development of autonomous vehicle, this paper proposes a high fidelity ultrasonic sensor model based on its physical characteristics, including obstacle detection, distance measurement and signal attenuation.
2016-09-14
Technical Paper
2016-01-1877
Jun Hu, Wei Liu, Shuai Cheng, Huan Tian, Huai Yuan, Hong Zhao
The convolutional neural network (CNN) has achieved extraordinary performance in image classification. However, the implementation of such architecture on embedded platforms is a big challenge task due to the computing resource constraint issue. This paper concentrates on optimization of CNN on embedded platforms with a case study of pedestrian detection in ADAS. The main contribution of this proposed CNN is its ability to run pedestrian classification task in real time with high accuracy based on a platform with ARM embedded. The CNN model has been trained with GPU locally and then transformed into an efficient implementation on embedded platforms. The efficient implementation uses dramatically small network scale and a lightweight CNN is obtained. Specifically, parameters of the network are compressed by adopting integer weights to reduce computational complexity. Meanwhile, other optimizations have also been proposed to adapt the general ARM processor architecture.
2016-09-14
Technical Paper
2016-01-1907
Yaxin Li, Ying Wang, Weiwen Deng, Xin Li, Zhenyi liu, Lijun Jiang
LiDAR sensors have played more and more important role on Intelligent and Connected Vehicles (ICV) and Advanced Driver Assistantance Systems (ADAS)However, development and testing of LiDAR sensors under real driving environment for ADAS applications are greatly limited by various factors, and often are impossible due to safety concerns. This paper proposed a novel functional LiDAR model under virtual driving environment to support development of LiDAR-based ADAS applications under early stage. Unlike traditional approaches on LiDAR sensor modeling, the proposed method includes both geometrical modeling approach and physical modeling approach. While geometric model mainly produces ideal scanning results based on computer graphics, the physical model further brings physical influences on top of the geometric model. The range detection is derived and optimized based on its physical detection and measurement mechanism.
2016-09-14
Technical Paper
2016-01-1903
Tao Wang, Weiwen Deng, Sumin Zhang, DaZhi wang, Junyong Liu
Intelligent vehicles have gained increasing popularity in recent years as traffic safety and efficiency have become the major challenges faced by automotive industry. Vehicle positioning system, such as GPS, plays more and more important role on intelligent or autonomous driving. Intelligent vehicle technologies have been developed and tested mainly based on intensive field experiment under various driving scenarios. However, the large variation, uncertainty and complexity of the driving environment with buildings, traffics and weather conditions have posed great challenges to ensure test repeatability and system robustness. Although there exists some GPS models in some of the commercial tools, they were developed often with emphases on specific applications, and the error model is relatively simple and does not adequately reflect the physical phenomena of the real measurement. This paper proposes a GPS model with software-centered observation errors.
2016-09-14
Technical Paper
2016-01-1899
Tao Wang, Weiwen Deng, Ying Wang, Yuhao Chen, Keke zhang
Vehicle positioning technology has played more and more important role on intelligent driving. As proved by DARPA Urban Challenge, it is feasible that vehicles can track its desired trajectory safely and accurately if its positioning accuracy reaches above the order of decimeters with update frequency to be no less than 10Hz. Although satellite-based positioning method is still the most popular and mature way, there are major problems in using GNSS (Global Navigation Satellite System) since its signal can often be obstructed by surrounding objects, and its update rate is too low to be adequate. Mounting research has been conducted aimed to improve the performance of GNSS, such as RTK-GPS/INS systems, dead reckoning and visual odometry. The problems remain unresolved, in particular, under “urban canyon” for sufficient long period.
2016-09-14
Technical Paper
2016-01-1892
Jiao Guo, Weiwen Deng, Sumin Zhang, Shiqian Qi, Xin Li
The conventional radar modeling methods for automotive applications were either function-based or physics-based. The former approach was mainly abstracted as a solution of the intersection between geometric representations of radar beam and targets, while the latter one took radar detection mechanism into consideration by means of “ray tracing”. Although they each has its unique advantages, they were often unrealistic or time-consuming to meet actual simulation requirements. This paper presents a combined geometric and physical modeling method on millimeter-wave radar systems with Frequency Modulated Continuous Wave (FMCW) under a 3D simulation environment. With the geometric approach, a link between the virtual radar and 3D environment is established. With the physical approach, on the other hand, the ideal target detection and measurement are contaminated with noise and clutters aimed to produce the signals as close to the real ones as possible.
2016-09-14
Technical Paper
2016-01-1894
Siyu Chen, Libo Huang, Jie Bai, Haitao Jiang, Liang Chang
Research objective: Intelligent vehicle can improve traffic safety and reduce damage caused by traffic accidents. Environmental perception system is the core of the intelligent vehicle which detects vehicles and pedestrians around the ego vehicle by using sensors. Environmental perception system with the multi-sensor information fusion algorithm can utilize the advantages of the individual sensors and detect the objects with higher probability and accuracy. Most of the published multi-sensor information fusion algorithms are based on the sensor level fusion architecture which is not stable in target tracking. This paper presents a multi-sensor fusion algorithm with central level architecture, which can improve the target tracking stability compare to the sensor level fusion architecture. Methodology:The fusion algorithm with central level architecture tracks the targets based on the targets’ distance, speed and angle measured by the individual sensors.
2016-09-14
Technical Paper
2016-01-1900
Yafei Wang, Hiroshi Fujimoto, Yoichi Hori
Vehicle lateral states such as lateral distance at a preview point and heading angle are indispensible for lane keeping control systems, and such states are normally estimated by fusing signals from an onboard vision system and inertial sensors. However, the sampling rates and delays are different between the two kinds of sensing devices. Most of the conventional methods simply neglect measurement delay and reduce the sampling rate of the estimator to adapt to the slow sensors/devices, but the estimation accuracy is deteriorated, especially considering the delay of visual signals may not be constant. Moreover, the performance of vehicle lateral control systems such as lane keeping cannot be satisfactory using the lateral states of low updating frequency. Therefore, in this paper, a multi-rate estimation algorithm based on Kalman filter is proposed to provide high frequency lateral states.
2016-09-14
Technical Paper
2016-01-1887
Hui Sheng Ma, Erqing Zhang, Shufang Li, Zhengnan Lv, Jing Hu
Today it is already practically feasible to consider fully automatic operation of vehicles in restricted areas. Autonomous driving enabled by V2X communications generates delay-sensitive data traffic with requirements for high reliability. Considering the autonomous vehicles will be introduced massively in ubiquitous city environments, high traffic volumes and high mobility should be also supplied. Thus, the character of such V2X service can be described as low latency, high reliability, high traffic volumes and high mobility. In this paper we give a V2X design for 5G network to support autonomous driving service. The design target is to achieve as low as 1ms delay between user planes of air interface, 99.999% air interface reliability through retransmissions limited in 10ms duration, at least 2000 vehicles per kilometer for low speed, 200 vehicles per kilometer for high speed, 50Mbps cell edge throughput for V2I,and 10Mbps rate for V2V.
2016-07-22
Standard
AS20708/19B
Scope is unavailable.
2016-07-22
Standard
AS20708/21B
Scope is unavailable.
2016-07-22
Standard
AS20708/28B
Scope is unavailable.
2016-07-22
Standard
AS20708/20B
Scope is unavailable.
2016-07-22
Standard
AS20708/23B
Scope is unavailable.
Viewing 31 to 60 of 22870

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