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Application Study of Blind Spot Monitoring System Realized by Monocular Camera with CNN Depth Cues Extraction Approach

SAE International Journal of Connected and Automated Vehicles

Jiangsu Chaoli Electric Co., Ltd., China-Chuyo Kaku
Tokyo Institute of Technology, Japan-Yuxiang Guo, Itsuo Kumazawa
  • Journal Article
  • 12-02-04-0016
Published 2019-12-17 by SAE International in United States
The image from monocular camera is processed to detect depth information of the obstacles viewed by the rearview cameras of vehicle door side. The depth information recognized from a single, two-dimensional image data can be used for the purpose of blind spot area detection. Blind spot detection is contributing to enhance the vehicle safety in scenarios such as lane-change and overtaking driving. In this article the depth cue information is inferred from the feature comparison between two image blocks selected within a single image. Convolutional neural network model trained by deep learning process with good enough accuracy is applied to distinguish if an obstacle is far or near for a specified threshold in the vehicle blind spot area. The application study results are demonstrated by the offline calculations with real traffic image data.
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Vision Based Solution for Auto-Maneuvering of Vehicle for Emerging Market

General Motors Technical Center-Souvik Bose, Ashwani Kumar Singh, D V Ram Kumar Singampalli
General Motors Technical Center India-Chandraprakash lalwani
  • Technical Paper
  • 2019-28-2517
Published 2019-11-21 by SAE International in United States
Advance Active Safety Systems play a preventive role in mitigating crashes and accidents by providing warning, additional assistance to the driver and maneuverability of vehicle by itself. Some of the features include forward collision warning system and lane departure warning system activate a warning alert when potentially dangerous situations are detected. These active safety features present in developed markets work with Fusion based algorithm combining Radar, Lidar, Camera, Ultrasonic sensor’s input. Application of these algorithms are Intelligent Cruise Control, Collision avoidance, parking assistance, identify pedestrian etc. The complexity of the algorithm, cost of the control unit and road infrastructure are hindrance to emerging market. The solution presented in this paper is towards camera-based solution, describing the method to determine the predictive path, that is obstacle free space and use the predictive space to navigate or steer. This paper focuses on vehicle maneuverability in poor road infrastructure (lane irregularities or no lane marking) by using only cameras.
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An ADAS Feature Rating System: Proposing a New Industry Standard

Velodyne LiDAR-David Heeren, Mircea Gradu
Published 2019-10-07 by SAE International in United States
More than 90% of new vehicles include Advanced Driving Assistance Systems that offer features such as Lane Keep Assist and Adaptive Cruise Control [1]. These ever-improving vehicle systems present a great opportunity to increase driving safety and reduce the number of roadway deaths and injuries. Indeed, they are already having a positive effect. However, the wide variety of features offered in the marketplace can be confusing to consumers, who may not clearly understand their vehicles’ true capabilities and limitations, or have an easy way of comparing system performance between vehicle models. This lack of information has the potential to reduce the safety gains of ADAS features by increasing the risk of improper use. To encourage transparency in the marketplace and thus engender the maximum positive effect of ADAS technologies, this paper proposes a five-level rating system, which utilizes diamonds to denote significant milestone achievements in vehicle system performance. The rating charts resulting from this system describe gradients of performance within criteria addressed by certain foundational ADAS features. Presented here in its initial stage of development,…
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Message Sets for Advanced Traveler Information System (ATIS)

V2X Core Technical Committee
  • Ground Vehicle Standard
  • J2354_201906
  • Current
Published 2019-06-11 by SAE International in United States
This SAE Standard describes standardized medium-independent messages needed by information service providers for Advanced Traveler Information Systems (ATIS). The messages contained herein address all stages of travel (informational, pre-trip and en route), all types of travelers (drivers, passengers, personal devices, computers, other servers), all categories of information, and all platforms for delivery of information (in-vehicle, portable devices, kiosks, etc.).
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Evaluation of Different ADAS Features in Vehicle Displays

University of Michigan-Abhishek Mosalikanti, Pranove Bandi, Sang-Hwan Kim
Published 2019-04-02 by SAE International in United States
The current study presents the results of an experiment on driver performance including reaction time, eye-attention movement, mental workload, and subjective preference when different features of Advanced Driver Assistance Systems (ADAS) warnings (Forward Collision Warning) are displayed, including different locations (HDD (Head-Down Display) vs HUD (Head-Up Display)), modality of warning (text vs. pictographic), and a new concept that provides a dynamic bird’s eye view for warnings.Sixteen drivers drove a high-fidelity driving simulator integrated with display prototypes of the features. Independent variables were displayed as modality, location, and dynamics of the warnings with driver performance as the dependent variable including driver reaction time to the warning, EORT (Eyes-Off-Road-Time) during braking after receiving the warning, workload and subject preference. The primary results were in line with previous research, validating previous claims of the superiority of HUD over HDD in warning delivery. It was also found that the text format of the warning yielded higher response rates along with lower workload, while most participants preferred the dynamic bird’s eye view layout.
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System Engineering of an Advanced Driver Assistance System

Ohio State University-Evan Stoddart, Subash Chebolu, Shawn Midlam-Mohler
Published 2019-04-02 by SAE International in United States
Current Advanced Driver Assistance Systems (ADAS) often interact with the driver; aiding with either warnings or direct intervention. This work explores the development of an ADAS system to provide lane departure warning, forward collision warning, and a recommended following distance for a custom plug-in hybrid-electric vehicle. The system utilizes off-the-shelf hardware with in-house computer vision and sensor fusion algorithms to create a low-cost SAE Level 0 driver assistance system. The system utilizes a radar sensor as well as a camera to detect, classify, and track target vehicles. This work will illustrate the systems engineering methods used for outlining customer requirements, technical requirements, component selection, software development, simulation, vehicle fitment, and validation. Similar system engineering processes could be implemented for higher level SAE systems.
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Simulation Based Design and Development of Test Track for ADAS Functions Validation and Verification with Respect to Indian Scenario

Automotive Research Association of India-Jyoti Ganesh Kale, Anand Subramaniam, Manish Laxman Karle, Ujjwala Shailesh Karle
Published 2019-01-09 by SAE International in United States
Autonomous vehicles perform various functions with their own control strategies. Functions like Lane Departure Warning (LDW), Lane Keeping system (LKS) and Forward Collision Warning System (FCWS) requires special test tracks for their verification and validation. These test track requirements change with region to region according to available infrastructure.This paper deals with the design and development of test tracks for different ADAS functions verification and validation of Indian specific scenarios and its simulation in IPG CarMaker. The test track conceptualization has been done through the understanding and study of different international standards and geometry of test tracks for Indian conditions have been developed. IPG CarMaker software tool is used for creation of test track, and same track is used for simulation of above ADAS functions in IPG CarMaker. It is used as a scenario editor which can also simulate ECU and respond to sensor inputs dynamically which is not possible with other simulation environments. It creates a repeatable test scenario for particular function. IPG CarMaker is used to generate the required test track conditions in animated…
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Nissan's all-new Altima gets variable-compression engine, AWD

Automotive Engineering: November 2018

Paul Seredynski
  • Magazine Article
  • 18AUTP11_09
Published 2018-11-01 by SAE International in United States

The Altima sedan is an important product for Nissan, what it calls its “brand ambassador.” Long a solid choice in the midsize sedan segment, its typically conservative sheetmetal over the nameplate's five generations has set benchmarks for inoffensive design. For MY2019, Nissan has moved the all-new sixth-generation Altima onto an updated, autonomous-capable global platform and is providing two new powertrains, its first all-wheel-drive system for a sedan in this market and styling that is clean, handsome and sharp.

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2019 Honda Pilot gets refined 9-speed, tougher styling

Automotive Engineering: October 2018

Paul Seredynski
  • Magazine Article
  • 18AUTP10_13
Published 2018-10-01 by SAE International in United States

The 2019 Honda Pilot arrives with few but important changes for the 3-row, 8-seat SUV, most notably revisions to its 9-speed automatic. New, more-rugged exterior styling is designed to remind consumers the Pilot has a thoroughly capable torque-vectoring all-wheel-drive setup, and Honda's suite of radar-based safety systems is now standard on all Pilot models.

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Effects of an On-Board Safety Device on the Emissions and Fuel Consumption of a Light Duty Vehicle

THEi-Jackson Ho
University of Technology- Sydney-Cheuk Yin Ng, Yuhan Huang, Guang Hong, John Zhou, Nic Surawski
Published 2018-09-10 by SAE International in United States
Vehicle emissions and fuel consumption are significantly affected by driving behavior. Many studies of eco-driving technology such as eco-driving training, driving simulators and on-board eco-driving devices have reported potential reductions in emissions and fuel consumption. Use of on-board safety devices is mainly for safety, but also affects vehicle emissions and fuel consumption. In this study, an on-board safety device was installed to alert the driver and provide several types of warning to the driver (e.g. headway monitoring warning, lane collision warning, speed limit warning, etc.) to improve driving behavior. A portable emissions measurement system (PEMS) was used to measure vehicle exhaust concentrations, including hydrocarbons (HC), carbon monoxide (CO), carbon dioxide (CO2) and nitrogen oxides (NOx). The driving parameters including vehicle speed, acceleration and position were also recorded. A specific test route was designed for the experiment to investigate both urban and highway conditions. The driving parameters and emissions data were compared before and after the installation of the on-board safety device with the same driver. The Vehicle Specific Power (VSP) methodology was applied to evaluate…
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