Challenges of AEB and ADAS Systems

Developments in RADAR and in-cabin monitoring for ADAS and AV

Calibration, Validation and Risk Management

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AAA Research - ADAS Performance in the Context of Naturalistic Scenarios

The presentation will focus on AAA’s research relating to publicly available pedestrian detection systems including test scenarios and observed performance. ...Read More

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The need to mandate in-cabin monitoring for automated vehicles

Concerns with drivers not in the loop (Level 0 – Level 4)•Regulations forecast in area of active interior sensing (drowsy, impaired, distracted drivers, and children left behind)EuroNCAP roadmap for Driver ...Read More

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Measurement and Calibration for Autonomous Vehicle System Validation

This presentation will:describe traditional automotive measurement and calibration,illustrate current measurement and calibration in vehicle systems used in the calibration / validation of level 1-2+ autonomous vehicle functionality,explain the substantial challenges associated with measurement and ...Read More

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Smart Cameras and Camera System applications and requirements in automotive

arly as 1985, camera was developed for automotive applications like replacing mirrors.  Fast forward to 2020, automotive industry is relying on cameras for applications range from driver convenience to mission critical autonomous driving. ...Read More

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Radar and capacitive sensors for In-cabin monitoring and short range ADAS functions

The presentation discusses applications such as gesture recognition, climate control, health monitoring and audio sectioning, which can be enabled by unobtrusive and privacy preserving devices such as radar and ...Read More

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What is an Automotive Grade LiDAR?

depth look at environmental, electrical and functional testing of lidars for the automotive market.  ...Read More

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Analysis of Vehicle Network Data Integrated with Video Object Detection

This presentation will walk you through the process of setting up a simple object detection algorithm on images (JPG/RAW) and creating calculated signals from the observed objects in the images. The image processing ...Read More

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Optical Coating Development in Optical Sensing for the Automotive Market

The drive to ever smarter and more automated devices results in the need for these devices to sense their environment as well as or preferably better than humans. Optical thin film coatings are ...Read More

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Analyzing camera viewing performance degradation with lens abrasion

GM requires suppliers to run the test (GMW17555) which replicates a standardized mechanical cleaning action and evaluates its effects on the viewing performance over time. For scratched lens, this method ...Read More

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Competing Radar Technologies Review

Current radar technologies and use casesRadar technology limitations, including resolution (angular resolution below 1°) and interference managementFuture radar trends: Imaging radar/Scanning array/Integration/Occupancy detectionRadar market and forecast + market shareThe evolution of driving from L0 ...Read More

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Comprehensive Data and Model Pipelines for Automotive AI

In this talk, we discuss some of the latest trends in Automotive AI, present what a data and model pipeline looks like for creating successful AI solutions using Machine ...Read More

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AV/ADAS Critical Scenario Creation via Simulation

Unsafe and Unknown Scenarios can be defined as Critical Scenarios. Our goal is to present an approach using detailed simulation to create and find these scenarios for a given AV/ADAS system. First, we ...Read More

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Challenges and solutions for determining the image quality of automotive HDR cameras

The validation or determination of the quality of an imaging system is a critical challenge, especially in the automotive environment. The test equipment used, more precisely the quality of the light sources used ...Read More

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Photonic integrated circuits: a game-changer for lidar?

quickly growing variety of industries are integrating lidar into their roadmaps. This means technology providers need to take an increasing amount of specifications and requirements into account. However, the automotive industry will ...Read More

Coffee Break

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Automotive Image Quality Concepts for the next SAE levels: Colour Separation and Contrast Detection

We develop questions around the challenges of automotive image quality and show that especially colour separation probability (CSP) and contrast detection probability (CDP) are key enabler to improve the knowhow and overview of the ...Read More

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Developments in MMwave radar towards safer autonomous vehicles

Today’s leading advanced RADAR sensors, pioneered by military aircraft, are now becoming affordable for automotive use.  This provides incredibly fine object resolution in 3D, protected by hardened security systems that resist interference and jamming. ...Read More

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Automotive SerDes Technologies For Sensor Applications

This presentation will give an overview over the needs and challenges for automotive SerDes technologies and how the recently founded Automotive SerDes Alliance (ASA) is going to approach these. ...Read More

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Comparison of Detectability Index and Contrast Detection Probability

Vs rely on the detection and recognition of objects within images to successfully navigate. Design of camera systems is non-trivial and involves trading system specifications across many parameters to optimize performance, such as f-number, ...Read More

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Instantaneous Velocity Estimation for 360° Perception with Multiple High-Quality Radars

The necessity of investing time and effort in research and development of algorithms for high-quality automotive radar sensors for future L2+ AD systems.A proposed approach to adapt low-cost perception trackers ...Read More

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A Collaborative Approach to Advancing In-Vehicle Connectivity

This presentation will take a brief look at how MIPI specifications are already being implemented in automotive, followed by an overview of the forthcoming A-PHY specification. Included in the discussion ...Read More

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Discussion: How to run multi-channel cameras on a single automotive-grade SoC

Lessons learned from StradVision’s mass production project running 10 cameras in a single vehicle. ...Read More

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How to Scale Up the Speed and Still Maintain Safe & Resilient, Error Free Links

we look ahead, we see the many cameras, radars, sensors, displays and a range of devices in cars that will make autonomous driving a reality. The car must support all these devices ...Read More

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Case Study: Optimizing ISPs in Automotive Cameras to Improve Computer Vision Accuracy

Cameras are the most ubiquitous ADAS / Autonomous Vehicle (AV) sensor for both display and computer vision. Typical applications include surround view and teleoperation display, object detection for collision warning and automatic emergency ...Read More

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Enabling Cognitive Sensing for the AV Stack

The AV industry is rightly focused on “edge” or “corner” cases as significant challenges to AV safety and market success. Unfortunately, these are not edge or corner cases; they are common driving scenes that ...Read More

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Open Interoperability Standards for Automotive Vision and Inferencing Acceleration: An Industry Overview

p-to-the-minute understanding of the evolving landscape of open interoperability standards and APIs that are relevant to accelerating inferencing and vision applications for automotive.An analysis of how open standards compare and contrast to available ...Read More

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