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In-Vehicle Directional Audio Streaming

Aptiv Components India Pvt Ltd.-Anitha Loganathan, Vijayalakshmi kr
  • Technical Paper
  • 2019-28-2448
Published 2019-11-21 by SAE International in United States
In-Vehicle Infotainment has evolved greatly over years from a simple tuner based radio with a small LED display to a complex system with highly intelligent interactive HMI which can mirror the smart phone. The full-fledged entertainment features like watching videos are restricted to only rear passengers. In drive mode, drivers are limited with access to only audio to avoid driver distraction. Rear passengers and drivers are classified into different audio zones. Each of the rear passengers are equipped with headsets so that audio merging with driver zone can be avoided. This leads to passenger discomfort, as many passengers would not prefer to hook up with headset all the time. Now the automotive world is envisioned to reach fully autonomous mode where there is no driver and every passenger is interested to listen to music/video of diverse interest. The audio zones in autonomous car need not be zonified or linear. Circular audio zone can also be a good choice for autonomous cars. There are situations in autonomous cars where passenger is asleep in vehicle and hence…
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Controlling Wheelchairs with a Wearable Brain-Machine Interface

  • Magazine Article
  • TBMG-35505
Published 2019-11-01 by Tech Briefs Media Group in United States

Combining new classes of nanomembrane electrodes with flexible electronics and a deep learning algorithm could help disabled people wirelessly control an electric wheelchair, interact with a computer or operate a small robotic vehicle without donning a bulky hair-electrode cap or contending with wires.

Less Training Needed for Brain-Machine Interfaces

  • Magazine Article
  • TBMG-35338
Published 2019-10-01 by Tech Briefs Media Group in United States

Brain-machine interfaces (BMIs) are rarely found outside of medical clinics, where the disabled receive hours or days of training in order to operate wheelchairs with their minds. Now the largest-ever BMI experiment Mental Work, conducted as an experimental artwork at EPFL's Artlab, has provided preliminary evidence that training time can be shortened, the use of dry electrodes are a robust solution for public BMI and that user performance tends to improve within a relatively short period of time.

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How HMI displays impact operator productivity in industrial vehicles

SAE Truck & Off-Highway Engineering: October 2019

Markus Wallmyr, head of UX at CrossControl and a researcher with Mälardalen University, wrote this article for Truck & Off-Highway Engineering magazine.-Markus Wallmyr
  • Magazine Article
  • 19TOFHP10_11
Published 2019-10-01 by SAE International in United States

The latest research indicates that well-integrated HMI (human-machine interface) systems lead to more attentive users that better retain task-related information and stay focused for longer with less reported effort. These systems also fit into the wider development trends in off-highway machines that affect operator fatigue in day-to-day tasks.

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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). These guidelines do not address: Remote driving, including remote fallback test driving of prototype ADS-operated test vehicles in driverless operation. (Note: The term “remote fallback test driver” is included as a defined term herein and is intended to be addressed in a future iteration of this document. However, at this time, too little is published or known about this type of testing to provide even preliminary guidance.) Testing of driver support features (i.e., Levels 1 and 2), which rely on a human driver to perform part of the dynamic driving task (DDT) and to supervise the driving automation feature’s performance in real time. (Refer to SAE J3016.) Closed-course testing. Simulation testing (except for training purposes). Component-level testing.
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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.

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Autonomy in Your Face

Autonomous Vehicle Engineering: September 2019

Terry Costlow
  • Magazine Article
  • 19AVEP09_04
Published 2019-09-01 by SAE International in United States

Biometric technology is deemed essential to ensuring AV driving safety and advancing the user experience-if privacy issues don't derail its deployment.

Research into potential automotive applications for biometrics-facial and retina scans or fingerprints-is increasing, despite rising concerns about privacy and data security, and outcries from civil liberties advocates. A growing number of OEMs, Tier 1s and startups are striving to add facial recognition capability to driver monitoring systems (DMS).

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Empathy to Elevate the User Experience

Autonomous Vehicle Engineering: September 2019

Kami Buchholz
  • Magazine Article
  • 19AVEP09_10
Published 2019-09-01 by SAE International in United States

Harman developers are striving to create human-machine interfaces oriented more towards user needs.

In-car connectivity for today's cars and tomorrow's autonomous vehicles is moving product development norms beyond the traditional engineering approach. “Most products are designed from a straightforward engineering focus: It works like this. But with a user experience approach, it's about designing with empathy,” said Jason Johnson, director of user experience (UX) design at Harman.

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Build IIoT Networks with Smart Control and HMI Software

  • Magazine Article
  • TBMG-34879
Published 2019-08-01 by Tech Briefs Media Group in United States

Programmable automation controllers (PACs) play the primary role in IIoT systems. Also referred to as machine controllers, PACs provide a centralized architecture; they act as the central programmable logic controller (PLC) as well as motion, vision, pneumatic, hydraulic controller, and even embedded human-machine interface (HMI) or visualization (Figure 1). The benefit of the PAC approach is that the program does not need to share tags between devices due to components being part of the same device and using the same logic. This facilitates IIoT capabilities and reduces programming time. This is critical to IIoT as it allows the flow of accurate, actionable data to easily transfer within the machine and out to the user or server to make critical decisions with that data.

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German University Studying Assisted-Driving ‘Handoff’

Autonomous Vehicle Engineering: July 2019

Stuart Birch
  • Magazine Article
  • 19AVEP07_08
Published 2019-07-01 by SAE International in United States

Germany's Kempten University Adrive Living Lab will feature latest aVDS driving simulator to research ADAS stress levels.

Researchers at Germany's Kempten University of Applied Sciences plan to embark this year on autonomous vehicle (AV) and advanced driver-assist system (ADAS) programs that will include investigation of the safest ways to achieve handover of a vehicle when control is returned to a human driver. To do so, it is installing an AB Dynamics advanced Vehicle Driving Simulator (aVDS) that will help measure driver stress levels if the vehicle is not capable of performing a particular maneuver. The aVDS has been designed to provide high level R&D capabilities specifically for autonomous systems.

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