Creating 3D Virtual Driving Environments for Simulation-Aided Development of Autonomous Driving and Active Safety

2017 ◽  
Author(s):  
Arvind Jayaraman ◽  
Ashley Micks ◽  
Ethan Gross
Keyword(s):  
Autonomous Driving ◽  
Active Safety

Toward Next Active Safety Technology of Intelligent Vehicle

2015 ◽  
Vol 27 (6) ◽  
pp. 610-616 ◽  
Author(s):  
Hidehisa Yoshida ◽  
◽  
Manabu Omae ◽  
Takahiro Wada ◽  
◽  
...  
Keyword(s):  
Public Transportation ◽  
Cooperative Control ◽  
Traffic Accident ◽  
Warning System ◽  
Autonomous Driving ◽  
The Elderly ◽  
Accident Prevention ◽  
Intelligent Vehicle ◽  
Active Safety ◽  
Cruise Control

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/02.jpg"" width=""300"" /> Intelligent vehicle technologies</div>Autonomous driving has attracted attention in recent years from the viewpoint of energy consumption and traffic accident prevention; hence, its introduction has been desired. In Japan, various accident prevention safety technologies were developed for cooperative control between the driver and the vehicle system. For example, “adaptive cruise control system” and “lane departure warning system” were developed in the 1990s and “lane keeping assist system” and “braking control device for reducing collision damage” in the early stages of the 2000s. Later in Europe, autonomous driving systems were actively studied, and an automated braking system to avoid collisions was introduced in the market in the second half of the 2000s. Studies and development have been promoted for the practical use of active safety technologies based on autonomous driving technologies. Autonomous driving technologies could be applied to various cases, such as convoy travelling to compensate for the insufficient number of professional drivers or to improve their work environment, last-one-mile travelling from a public transportation station to home for the elderly, people who have children and people who need assistance, dead-man system for sudden illness of the driver, and automated parking for assisting the driver who is not good at it, or for the parking space to be effectively used. In this paper, an overview of the transition and history of vehicular technologies for safety and reliability is given. In particular, active safety technologies for traffic accident prevention and the necessary related technology trend are reviewed, and future problems are pointed out.

scholarly journals Parallel matrix multiplication circuits for use in Kalman filtering

2019 ◽  
Vol 32 (4) ◽  
pp. 479-501
Author(s):  
Rafal Długosz ◽  
Katarzyna Kubiak ◽  
Tomasz Talaśka ◽  
Inga Zbierska-Piątek
Keyword(s):  
Kalman Filtering ◽  
Matrix Multiplication ◽  
Autonomous Driving ◽  
Data Rate ◽  
Active Safety ◽  
Practical Applications ◽  
Additional Problem ◽  
Measurement Results ◽  
Cmos Implementation ◽  
Numerous Time

In this work we propose several ways of the CMOS implementation of a circuit for the multiplication of matrices. We mainly focus on parallel and asynchronous solutions, however serial and mixed approaches are also discussed for the comparison. Practical applications are the motivation behind our investigations. They include fast Kalman filtering commonly used in automotive active safety functions, for example. In such filters, numerous time-consuming operations on matrices are performed. An additional problem is the growing amount of data to be processed. It results from the growing number of sensors in the vehicle as fully autonomous driving is developed. Software solutions may prove themselves to be insuffucient in the nearest future. That is why hardware coprocessors are in the area of our interests as they could take over some of the most time-consuming operations. The paper presents possible solutions, tailored to specific problems (sizes of multiplied matrices, number of bits in signals, etc.). The estimates of the performance made on the basis of selected simulation and measurement results show that multiplication of 3?3 matrices with data rate of 20 100 MSps is achievable in the CMOS 130 nm technology.

A Lightweight and Multi-OS Compatible Middleware Designed for Autonomous Driving

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Kun Jiang ◽  
Yunlong Wang ◽  
Shengjie Kou ◽  
Diange Yang
Keyword(s):  
Autonomous Driving

Trend of an Autonomous Driving Control Vehicle

2013 ◽  
Vol 133 (9) ◽  
pp. 595-598
Author(s):  
Kenji SUZUKI ◽  
Hisaaki ISHIDA ◽  
Hirofumi INOSE ◽  
Rui KOBAYASHI
Keyword(s):  
Autonomous Driving

Imaging through Scattering Media with a Learning Based Prior

2020 ◽  
Vol 2020 (14) ◽  
pp. 306-1-306-6
Author(s):  
Florian Schiffers ◽  
Lionel Fiske ◽  
Pablo Ruiz ◽  
Aggelos K. Katsaggelos ◽  
Oliver Cossairt
Keyword(s):  
Optimization Problem ◽  
Autonomous Driving ◽  
Scattering Media ◽  
Photon Scattering ◽  
Point Spread ◽  
Spread Function ◽  
Radiative Transport Equation ◽  
Spatio Temporal ◽  
Transient Imaging

Imaging through scattering media finds applications in diverse fields from biomedicine to autonomous driving. However, interpreting the resulting images is difficult due to blur caused by the scattering of photons within the medium. Transient information, captured with fast temporal sensors, can be used to significantly improve the quality of images acquired in scattering conditions. Photon scattering, within a highly scattering media, is well modeled by the diffusion approximation of the Radiative Transport Equation (RTE). Its solution is easily derived which can be interpreted as a Spatio-Temporal Point Spread Function (STPSF). In this paper, we first discuss the properties of the ST-PSF and subsequently use this knowledge to simulate transient imaging through highly scattering media. We then propose a framework to invert the forward model, which assumes Poisson noise, to recover a noise-free, unblurred image by solving an optimization problem.

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