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Viewing 91 to 120 of 22961
2016-09-14
Technical Paper
2016-01-1907
Yaxin Li, Ying Wang, Weiwen Deng, Xin Li, Zhenyi liu, Lijun Jiang
Abstract LiDAR sensors have played more and more important role on Intelligent and Connected Vehicles (ICV) and Advanced Driver Assistance Systems (ADAS) .However, the 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
Journal Article
2016-01-1892
Jiao Guo, Weiwen Deng, Sumin Zhang, Shiqian Qi, Xin Li, Chenghao Wang
Abstract 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 for Frequency Modulated Continuous Wave (FMCW) modulation format 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
Journal Article
2016-01-1877
Jun Hu, Wei Liu, Shuai Cheng, Huan Tian, Huai Yuan, Hong Zhao
Abstract 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
Journal Article
2016-01-1899
Tao Wang, Weiwen Deng, Ying Wang, Yuhao Chen, Keke zhang
Abstract Aimed to provide an effective solution for control-oriented applications, this paper proposes a novel method using a high-precision digital map to achieve high-accuracy positioning with fast updating rate. First, the map is developed using a high-definition LiDAR (Velodyne HDL 64E) and a RTK-GNSS system, which contains lane-level waypoints, road width, curb and typical obstacles along the road. Next, a robust version of ICP (Iterative Closest Point) is proposed to clean the corresponding points of large errors on map matching (MM). Finally, based on the large set of data from the environmental map, an unscented Kalman filter (UKF) is applied to fuse GNSS signal and dead reckoning (DR) to estimate the position. Thus the searching scope on the map can be considerably reduced so that the matching speed can be greatly improved. The high-precision digital map can be used not only for global path planning, but also for local driving detection and path planning.
2016-09-14
Journal Article
2016-01-1903
Tao Wang, Weiwen Deng, Sumin Zhang, DaZhi Wang, Junyong Liu
Abstract 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, including buildings, traffic and weather conditions have posed great challenges on test repeatability and system robustness. This paper proposes a GPS model considering software-centered observation errors. The focus of the research is on its error to reflect the real signals from GPS measurement.
2016-09-02
Journal Article
2016-01-9111
Sebastian Brandes, Klaus-Dieter Hilf, Riccardo Möller, Tobias Melz
Abstract This paper makes a contribution toward a more efficient chassis durability process for the development of passenger cars, in which the simulation of relevant load data is a time-consuming part. This is especially due to the full vehicle model complexity which is usually determined by the demands of rough road simulations. However, for the load calculation on a racetrack, time saving model approaches that are more simplified might be sufficient. Our investigation comprises two levels of vehicle model complexity: one with all chassis parts modeled in a multibody system environment and one characteristic curve based model in an internal simulation environment. Both approaches consider an original chassis control system as a Software-in-the-Loop model. By the evaluation of real-world experiments the main influence factors in terms of durability are demonstrated. With the help of those highly sensitive durability criteria the measurement and simulation results are then compared.
2016-08-25
Article
Autonomous driving and machine system automation continue to increase productivity and convenience in farm production.
2016-08-25
WIP Standard
ARP6857
This recommended practice defines the technical requirements for a terrestrial based PNT system to improve unmanned vehicle navigation solutions and ensure critical infrastructure security.
2016-08-25
WIP Standard
ARP6856
This recommended practice provides users with the technical requirements and methods for accessing, viewing, and processing raw GNSS receiver measurements for improved unmanned vehicle navigation solutions.
2016-08-19
Standard
AS90328A
SCOPE IS UNAVAILABLE.
2016-08-18
WIP Standard
AS31061B
No scope available.
2016-08-18
WIP Standard
AS25183B
No scope available.
2016-08-18
WIP Standard
AS31081B
No scope available.
2016-08-17
Article
Able to withstand harsh environments, Positronic’s new power connector family provides IP65/IP67 sealing capability.
2016-08-17
WIP Standard
ARP4553B
This SAE Aerospace Recommended Practice (ARP) is intended to provide design and qualification requirements for self-displacing hydraulic accumulators.

These requirements are intended to be included in the Producrement Specification for the accumulator. Those requirements identified by the use of "shall" are considered to be essential requirements; those requirements identified by the use of "should" are considered to be optional requirements for inclusion in the Specificaiton at the discretion of the Purchaser.

In addition, test methods for production acceptance and qualification purposes are provided.

The accumulator is intended for use in military aerospace hydraulic systems with rated pressures of up to 8000 psi (55,158 kPa) and of the following types as specified in SAE AS 5440: Type I: -65 to +160 °F (-54 to +71 °C) fluid temperature; Type II: -65 to +275 °F (-54 to +135 °C) fluid temperature.

2016-08-17
WIP Standard
AS85049/47E
An Amendment corresponding to this standard is available at AS85049_47A_A3
2016-08-16
Article
Get ready for the “pod” car: Ford announced today that it intends to mass-produce a driverless, fully autonomous vehicle for commercial ride-sharing or ride-hailing service in 2021. The vehicle apparently will be the embodiment of today’s notion of the driverless-vehicle extreme: it will have no steering wheel, brake or accelerator pedals, said president and CEO Mark Fields during the announcement at the company’s Palo Alto, CA, research campus.
2016-08-16
WIP Standard
AS85049/138B
Scope unavailable.
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