Your Selections

Automated Vehicles
Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Committees

Events

Magazine

Series

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Approach for standardization of Advanced Driving Assistance System (ADAS) in India

International Centre For Automotive Tech.-Aditi Sethi
  • Technical Paper
  • 2019-28-2464
To be published on 2019-11-21 by SAE International in United States
Authors: Aditi Sethi1, Siddhanta Shrivastava2, Madhusudan Joshi3 Organization: 1,2,3 International Centre for Automotive Technology, Manesar Introduction: With the increasing utilization of electronics in Indian automobile industry, there is an essential requirement for standardizing the functional safety of sub-systems that constitute advanced driving assistance system (ADAS) as it would be the foundation stone for the automated vehicles in future. These systems assist the driver and the driving process, further increasing the car safety and road safety, subsequently reducing human error. Due to interaction of several electronic control units (ECUs) in a vehicle and complexity of the system, electronic stability plays a vital role. Therefore, the standards shall be more performance oriented and technology neutral. They shall also cover validation tests associated with safety, mechanical rigidity, durability, environmental protection and electromagnetic compatibility. Standardization of ADAS would authenticate the quality, regulate and smoothen the uniform implementation of these sub-systems. Interestingly the standardization of ADAS is in progress at the international level. It is therefore pertinent to consider adoption, formulation or both of international standards as a part of…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

An ADAS Feature Rating System: Proposing a New Industry Standard

Velodyne LiDAR-David Heeren, Mircea Gradu
  • Technical Paper
  • 2019-24-0251
To be published on 2019-10-07 by SAE International in United States
The rapid introduction of Advanced Driver-Assistance Systems (ADAS) in modern vehicles has the commendable overarching goal of improving the Safety of the driver, passengers and other traffic participants. As integral part of Automated Vehicles included within the SAE Levels 1-3, ADAS prepare the path toward full autonomy and consequently they are subjected to some of the same challenges. A recent SAE EDGE™ report considers the following four areas to be unsettled domains in automated vehicle sensors, due mainly to the lack of common understanding around various aspects pertaining to each of them: • Terminology and taxonomy • Testing, simulation, and calibration • Security, robustness, and integrity • Data ownership and privacy Velodyne LiDAR, Inc. is the lead company in automotive Lidar sensing technology, but also one of the strongest Safety Advocacy voices within the industry. Accordingly, Velodyne published several thought leading white papers addressing the first three topics listed above. This new SAE paper by Velodyne will build on the previous framework related to developing, testing, validating and marketing Lidar centric Safety oriented ADAS solutions.…
new

Connected & Autonomous Vehicles – Foundations and Business Models

  • Professional Development
  • C1951
Published 2019-09-11

The global forecasts of Connected and Autonomous Vehicles (CAV) uptake predicts a sustained market growth. Depending on the scenarios to take place the expansion in market share could be exponential.  Considering rapid technology development and moderate global L3-L5 CAV uptake, estimates a share of 25% of total annual global vehicle sales in 2035.

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Safety-Relevant Guidance for On-Road Testing of SAE Level 3, 4, and 5 Prototype Automated Driving System (ADS)-Operated Vehicles

On-Road Automated Driving (ORAD) committee
  • Ground Vehicle Standard
  • J3018_201909
  • Current
Published 2019-09-04 by SAE International in United States

This document provides safety-relevant guidance for on-road testing of vehicles being operated by prototype conditional, high, and full (Levels 3 to 5) ADS, as defined by SAE J3016. It does not include guidance for evaluating the performance of post-production ADS-equipped vehicles. Moreover, this guidance only addresses testing of ADS-operated vehicles as overseen by in-vehicle fallback test drivers (IFTD).

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

About Face!

Autonomous Vehicle Engineering: September 2019

Jennifer Dukarski
  • Magazine Article
  • 19AVEP09_05
Published 2019-09-01 by SAE International in United States

To win acceptance, deployment of facial-recognition technology needs to fit within a picture-perfect consumer and legal framework that balances benefits with privacy protection.

Whether it's using your face to confirm payment over your smartphone, monitoring your child at day-camp, or being confirmed as a ticketholder going to a concert, the possibilities for facial recognition technology are virtually endless-and the technology already has become ubiquitous.

Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

‘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.

Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

EDITORIAL: There is no substitute for ‘Automotive Grade’

Automotive Engineering: September 2019

Editor-in-Chief-Lindsay Brooke
  • Magazine Article
  • 19AUTP09_05
Published 2019-09-01 by SAE International in United States

When you get in a vehicle and push the ‘start’ button, you're betting that the machine will get you to your destination safely and reliably, regardless of the driving conditions. Lives are at stake the moment you lift off the brake pedal.

Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

The Navigator

Autonomous Vehicle Engineering: September 2019

  • Magazine Article
  • 19AVEP09_02
Published 2019-09-01 by SAE International in United States

No trust in AI systems without data protection

When people surround themselves with microphones and cameras, others will be listening and watching. This reality shouldn't come as a surprise, but remarkably it does. The advent of automated driving will dramatically expand this activity. In fact, it is already creating controversy.

Annotation ability available
new

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…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

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…
This content contains downloadable datasets
Annotation ability available