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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
To be published on 2019-11-21 by SAE International in United States
Vision based solution for auto- maneuvering of vehicle for emerging market: Author/Co-Author: Singh Ashwani, SDV Ram Kumar, Bose Souvik, Lalwani Chandraprakash General Motors Technical Centre India Key words: Image Processing, Gap finding, virtual/Imaginary lines, Advance Driver Assist System (ADAS), Vehicle to vehicle(V2V)/Vehicle to Infrastructure(V2I/V2X) Research & Engineering Objective: For the various levels of autonomous, the current perception algorithms involve considerable number of sensor inputs like cameras, radars and Lidars and their fusion logics. The planning route for the vehicle navigation is done through map information which is highly volatile and keep changing many at times. Existing steering assist feature during a curve is available by combining additional driver monitoring camera & 360 degree camera. The complexity is very high in the implementation and computation of these algorithm. These solutions are not cost-effective for emerging markets. Non-availability of required infrastructure in developing countries is one of the additional constrain. Feature unavailability due to road infrastructure (ex: poor or no lane markings), bad weather will lead to higher customer dissatisfaction. The objective is to develop a logic/study…
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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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Continental Tire rolls towards a smart-and-connected future

Automotive Engineering: October 2019

Stuart Birch
  • Magazine Article
  • 19AUTP10_09
Published 2019-10-01 by SAE International in United States

It is difficult to become emotional about tires except when they-literally-let us down. But tires are set to get smarter, communicate more effectively and react to changing road conditions. Each of these will play a role in meeting the demands of autonomous- and electric-vehicle (AV/EV) development.

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‘Smart’ in Ohio's Heartland

Autonomous Vehicle Engineering: September 2019

Bill Visnic
  • Magazine Article
  • 19AVEP09_09
Published 2019-09-01 by SAE International in United States

With a 45-year history in vehicle testing, Ohio's Transportation Research Center launches a $45-million investment in the automated-vehicle future, becoming North America's largest dedicated AV test facility.

As notions advance regarding the evolving needs and requirements of automated-vehicle (AV) testing, there's a concurrent focus on the capabilities available from the world's comparatively meager number of suitable test facilities. Physical testing of AVs-and vehicles with advanced driver-assistance systems (ADAS)-in controlled environments is crucial, but demand for independent testing capacity continues to swell.

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Rethinking ADAS materials

Automotive Engineering: September 2019

John Pedrotti is Marketing Business Manager, Mobility, SABIC-John Pedrotti
  • Magazine Article
  • 19AUTP09_03
Published 2019-09-01 by SAE International in United States

New specialized thermoplastics offer greater design freedom to improve sensor performance and packaging, at reduced cost.

Advanced driver assistance system (ADAS) technologies-including automatic emergency braking, collision avoidance, adaptive cruise control and parking assist-are quickly going mainstream. OEMs, regulators and consumers recognize their value in improving driving and preventing accidents. As a global market, ADAS is expected to grow at a CAGR of 19.0% through 2025, according to Grand View Research.

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A Maneuver-Based Threat Assessment Strategy for Collision Avoidance

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Beihang University, China-Weiwen Deng
General Motors LLC, United States-Jinsong Wang
  • Journal Article
  • 07-12-01-0003
Published 2019-08-22 by SAE International in United States
Advanced driver-assistance systems (ADAS) are being developed for more and more complicated application scenarios, which often require more predictive strategies with better understanding of the driving environment. Taking traffic vehicles’ maneuvers into account can greatly expand the beforehand time span for danger awareness. This article presents a maneuver-based strategy to vehicle collision threat assessment. First, a maneuver-based trajectory prediction model (MTPM) is built, in which near-future trajectories of ego vehicle and traffic vehicles are estimated with the combination of vehicle’s maneuvers and kinematic models that correspond to every maneuver. The most probable maneuvers of ego vehicle and each traffic vehicles are modelled and inferred via Hidden Markov Models with mixture of Gaussians outputs (GMHMM). Based on the inferred maneuvers, trajectory sets consisting of vehicles’ position and motion states are predicted by kinematic models. Subsequently, time to collision (TTC) is calculated in a strategy of employing collision detection at every predicted trajectory instance. For this purpose, safe areas via bounding boxes are applied on every vehicle, and Separating Axis Theorem (SAT) is applied for collision prediction…
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Developing a Standardized Performance Evaluation of Vehicles with Automated Driving Features

SAE International Journal of Connected and Automated Vehicles

Virginia Polytechnic Institute and State University, USA-Alexis Basantis
Virginia Tech Transportation Institute (VTTI), USA-Zachary Doerzaph, Leslie Harwood, Luke Neurauter
  • Journal Article
  • 12-02-03-0011
Published 2019-08-21 by SAE International in United States
Objectives: The project goal was to create an initial set of standardized tests to explore whether they enable the ongoing evaluation of automated driving features as they evolve over time. These tests focused on situations that were representative of several daily driving scenarios as encountered by lower-level automated features, often called Advanced Driver Assistance Systems (ADAS), while looking forward to higher levels of automation as new systems are deployed. Methods: The research project initially gathered information through a review of existing literature about ADAS and current test procedures. Thereafter, a focus group of industry experts was convened for additional insights and feedback. With this background, the research team developed a series of tests designed to evaluate a variety of automated driving features in currently available implementations and anticipated future variants. Key ADAS available on current production vehicles include adaptive cruise control (ACC), lane keeping assist (LKA), and automatic emergency braking (AEB). Seven of the most automated production vehicles available in 2018 from six manufacturers were subjected to a series of standardized tests that were performed…
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EDITORIAL: AI, ADAS & AVs-oh my!

SAE Truck & Off-Highway Engineering: August 2019

Editor-in-Chief-Ryan Gehm
  • Magazine Article
  • 19TOFHP08_06
Published 2019-08-01 by SAE International in United States

Active safety and advanced driver-assistance systems (ADAS), along with increasingly sophisticated artificial intelligence (AI) platforms-are the building blocks essential to climbing the SAE levels of automation. Acquisitions, partnerships and advanced-technology demonstrations in these areas are occurring at a dizzying rate, as the industry has set its sights on Level 4 (L4) automated vehicles (AVs).

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Simulation of Autonomous Vehicles

  • Magazine Article
  • TBMG-34920
Published 2019-08-01 by Tech Briefs Media Group in United States

The emergence of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) systems is gradually preparing consumers for a time where they relinquish control of their vehicles. A heated source of debate has been whether drivers are ready to hand power over to autonomous vehicles. But what about the other way around? What are the technology implications for an Autonomous Vehicle (AV) handing control back to the driver in a perceived emergency situation?

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New Mercedes-Benz Actros loaded with ADAS, active safety tech

SAE Truck & Off-Highway Engineering: August 2019

Dan Gilkes
  • Magazine Article
  • 19TOFHP08_12
Published 2019-08-01 by SAE International in United States

Mercedes-Benz Trucks, the European arm of the Daimler Trucks business, has launched an updated Actros heavy-duty truck flagship, packed with new technologies, vehicle safety and driver-assistance features. While this fifth-generation Actros may have changed little in outward appearance, there have been significant updates under the skin.

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