WEBVTT NOTE This file was exported by MacCaption version 7.0.13 to comply with the WebVTT specification dated March 27, 2017. 00:00:07.174 --> 00:00:09.635 align:center line:-5 position:50% size:45% Hi, everyone, and welcome back. 00:00:09.635 --> 00:00:12.930 align:center line:-5 position:50% size:45% My name is Janet Ooi, and I'll be taking you on a journey 00:00:12.930 --> 00:00:18.644 align:center line:-5 position:50% size:58% to understand the complex challenges automotive OEMs and Tier 1 suppliers face 00:00:18.644 --> 00:00:22.814 align:center line:-1 position:50% size:44% in testing ADAS and AV functions in modern vehicles. 00:00:22.814 --> 00:00:28.320 align:center line:-1 position:50% size:59% Before that, let's hear from Steffen Schmidt, the CEO of IPG Automotive, 00:00:28.320 --> 00:00:32.366 align:center line:-1 position:50% size:68% who will share more about the development trends of autonomous driving 00:00:32.366 --> 00:00:37.120 align:center line:-1 position:50% size:56% and how testing will evolve along with the technology advancements. 00:00:37.120 --> 00:00:44.253 align:center line:-5 position:50% size:60% Future development trends and topics such as autonomous driving or electrification 00:00:44.253 --> 00:00:46.880 align:center line:-1 position:50% size:42% are strongly driven by software. 00:00:46.880 --> 00:00:53.345 align:center line:-1 position:50% size:62% The focus of vehicle development is therefore shifting from hardware to software. 00:00:53.345 --> 00:00:56.890 align:center line:-1 position:50% size:63% Automation in vehicles with ADAS Level 3+ 00:00:56.890 --> 00:01:02.854 align:center line:-1 position:50% size:60% increases and requires testing and validation of a steadily growing number of scenarios, 00:01:02.854 --> 00:01:05.107 align:center line:-1 position:50% size:37% including their environment. 00:01:05.107 --> 00:01:09.069 align:center line:-1 position:50% size:45% Not only does the number of tests to be performed rise, 00:01:09.069 --> 00:01:11.822 align:center line:-1 position:50% size:55% but their complexity is also getting higher. 00:01:11.822 --> 00:01:14.825 align:center line:-1 position:50% size:53% In the past, with adaptive cruise control, 00:01:14.825 --> 00:01:19.121 align:center line:-1 position:50% size:42% it was sufficient to pay attention to the vehicle up front. 00:01:19.121 --> 00:01:24.668 align:center line:-1 position:50% size:51% Nowadays, many different road users have to be taken into account in tests, 00:01:24.668 --> 00:01:28.005 align:center line:-1 position:50% size:46% for example, for the Highway Pilot. 00:01:28.005 --> 00:01:32.801 align:center line:-1 position:50% size:52% In addition to following the lead vehicle and keeping a safe distance, 00:01:32.801 --> 00:01:39.308 align:center line:-1 position:50% size:63% automated maneuvers such as exiting the lane, overtaking, and re-entering the lane 00:01:39.308 --> 00:01:42.060 align:center line:-1 position:50% size:58% also have to be considered in this example. 00:01:42.060 --> 00:01:47.065 align:center line:-1 position:50% size:49% The complexity increases even more when driving in cities. 00:01:47.065 --> 00:01:52.279 align:center line:-1 position:50% size:53% Think about all the different intersection and turning scenarios with pedestrians, 00:01:52.279 --> 00:01:58.744 align:center line:-1 position:50% size:54% cyclists, mopeds, e-scooters, and so on. 00:01:58.744 --> 00:02:04.708 align:center line:-1 position:50% size:62% The real test drive on its own cannot represent this level of complexity and variability. 00:02:04.708 --> 00:02:08.879 align:center line:-1 position:50% size:43% Therefore, the use of simulation is absolutely essential 00:02:08.879 --> 00:02:14.217 align:center line:-1 position:50% size:48% to develop and validate AV systems. 00:02:14.217 --> 00:02:20.474 align:center line:-1 position:50% size:56% In addition to camera and lidar sensors, the radar sensor plays a key role. 00:02:20.474 --> 00:02:25.854 align:center line:-1 position:50% size:53% Radar technology is becoming more and more intelligent and complex. 00:02:25.854 --> 00:02:28.565 align:center line:-1 position:50% size:46% This makes validation and release 00:02:28.565 --> 00:02:33.487 align:center line:-1 position:50% size:47% of radar-based assistance systems more challenging. 00:02:33.487 --> 00:02:36.531 align:center line:-1 position:50% size:38% Due to the high number and complexity of scenarios, 00:02:36.531 --> 00:02:40.285 align:center line:-1 position:50% size:43% they cannot only be performed in the physical vehicle anymore. 00:02:40.285 --> 00:02:42.162 align:center line:-1 position:50% size:27% That's right, Steffen. 00:02:42.162 --> 00:02:46.750 align:center line:-1 position:50% size:55% Radar sensors have evolved significantly over the last decade 00:02:46.750 --> 00:02:51.296 align:center line:-1 position:50% size:53% and are becoming more and more intelligent and complex. 00:02:51.296 --> 00:02:55.634 align:center line:-1 position:50% size:51% Radar technology continues to evolve with higher frequency, 00:02:55.634 --> 00:02:59.429 align:center line:-1 position:50% size:52% wider bandwidth, and better resolution. 00:02:59.429 --> 00:03:03.058 align:center line:-1 position:50% size:64% In fact, advances in the radar sensor technology 00:03:03.058 --> 00:03:08.730 align:center line:-1 position:50% size:53% are what's pushing the automation level in vehicles toward Level 3 or 4. 00:03:08.730 --> 00:03:11.650 align:center line:-1 position:50% size:54% Getting to Level 5 full driving automation 00:03:11.650 --> 00:03:15.487 align:center line:-1 position:50% size:35% will require representation of total roadway scenes, 00:03:15.487 --> 00:03:19.491 align:center line:-1 position:50% size:37% ensuring the ADAS and AV decision-making algorithms 00:03:19.491 --> 00:03:24.246 align:center line:-1 position:50% size:52% are reliable enough for us to trust them with our lives. 00:03:24.246 --> 00:03:29.501 align:center line:-1 position:50% size:58% The vision is for this technology to fully replace the human behind the wheel 00:03:29.501 --> 00:03:34.047 align:center line:-1 position:50% size:41% and make reliable, accurate, and safe decisions on the road 00:03:34.047 --> 00:03:37.008 align:center line:-1 position:50% size:35% under any circumstances. 00:03:37.008 --> 00:03:40.762 align:center line:-1 position:50% size:46% Let's take a sneak peek into what we will learn in Lesson 3 00:03:40.762 --> 00:03:46.810 align:center line:-1 position:50% size:57% and how we can achieve the vision of full driving automation in the near future. 00:03:46.810 --> 00:03:51.022 align:center line:-1 position:50% size:51% Forecasts are optimistic for the growth of the autonomous vehicle market. 00:03:51.022 --> 00:03:54.818 align:center line:-1 position:50% size:57% Those forecasts depend on the confidence in the minds of consumers, 00:03:54.818 --> 00:03:57.654 align:center line:-1 position:50% size:51% regulators, and the insurance industry. 00:03:57.654 --> 00:04:01.074 align:center line:-1 position:50% size:49% Confidence in the safety of advanced driver assistance systems 00:04:01.074 --> 00:04:03.076 align:center line:-1 position:50% size:35% is built on detailed testing, 00:04:03.076 --> 00:04:08.540 align:center line:-1 position:50% size:58% but it can take hundreds of millions of miles of road testing, actual or simulated, 00:04:08.540 --> 00:04:12.043 align:center line:-1 position:50% size:33% to explore corner cases and qualify new designs. 00:04:12.043 --> 00:04:16.673 align:center line:-1 position:50% size:61% Autonomous operation depends on high-resolution radar and camera systems 00:04:16.673 --> 00:04:19.968 align:center line:-1 position:50% size:66% working in concert with incoming navigation data. 00:04:19.968 --> 00:04:26.558 align:center line:-1 position:50% size:66% Business goals for size, weight, and cost are driving the sensor fusion of discrete elements 00:04:26.558 --> 00:04:30.604 align:center line:-1 position:50% size:52% into compact but complex subsystems. 00:04:30.604 --> 00:04:34.232 align:center line:-1 position:50% size:45% A typical testing process involves a vehicle on a test track. 00:04:34.232 --> 00:04:36.735 align:center line:-1 position:50% size:40% Whenever the vehicle approaches a physical target, 00:04:36.735 --> 00:04:39.029 align:center line:-1 position:50% size:45% the sensor system can be tested. 00:04:39.029 --> 00:04:46.036 align:center line:-1 position:50% size:56% This open-loop, single-unit method is slow, labor-intensive, costly, and insufficient. 00:04:46.036 --> 00:04:49.039 align:center line:-1 position:50% size:43% The complementary approach is time-synchronized testing 00:04:49.039 --> 00:04:51.333 align:center line:-1 position:50% size:43% of complete sensor subsystems. 00:04:51.333 --> 00:04:55.212 align:center line:-1 position:50% size:38% Using detailed simulations and a closed-loop approach, 00:04:55.212 --> 00:04:59.341 align:center line:-1 position:50% size:42% this method exercises sensors, electronic control units, 00:04:59.341 --> 00:05:02.886 align:center line:-1 position:50% size:53% and AI algorithms as an integrated unit. 00:05:02.886 --> 00:05:08.141 align:center line:-1 position:50% size:54% Working in collaboration, Keysight Technologies, IPG Automotive, 00:05:08.141 --> 00:05:11.353 align:center line:-1 position:50% size:65% and Nordsys have created an innovative solution 00:05:11.353 --> 00:05:15.732 align:center line:-1 position:50% size:52% called the Autonomous Drive Emulator (ADE) platform. 00:05:15.732 --> 00:05:17.150 align:center line:-1 position:50% size:27% Here's how it works: 00:05:17.150 --> 00:05:21.196 align:center line:-1 position:50% size:38% Each subsystem is mounted in an ADE simulator rig. 00:05:21.196 --> 00:05:24.449 align:center line:-1 position:50% size:39% The real-time 3D engine creates a virtual environment 00:05:24.449 --> 00:05:28.161 align:center line:-1 position:50% size:41% that includes full-motion video, dynamic radar signals, 00:05:28.161 --> 00:05:31.373 align:center line:-1 position:50% size:44% and congested C-V2X scenarios, 00:05:31.373 --> 00:05:35.460 align:center line:-1 position:50% size:53% 4G today and 5G NR in the near future. 00:05:35.460 --> 00:05:41.299 align:center line:-1 position:50% size:58% The unit under test responds with actions such as braking, steering, and acceleration, 00:05:41.299 --> 00:05:43.426 align:center line:-1 position:50% size:37% just as it would on the road. 00:05:43.426 --> 00:05:46.930 align:center line:-1 position:50% size:52% This expedites testing through cumulative hours of simulation 00:05:46.930 --> 00:05:50.850 align:center line:-1 position:50% size:55% and the measurement of feedback from every element of the ADAS system. 00:05:50.850 --> 00:05:54.854 align:center line:-1 position:50% size:50% With state-of-the-art realism, the ADE platform enables developers 00:05:54.854 --> 00:05:58.775 align:center line:-1 position:50% size:44% to confidently test their designs and then focus on the debugging 00:05:58.775 --> 00:06:01.069 align:center line:-1 position:50% size:47% and fine-tuning of system behavior. 00:06:01.069 --> 00:06:04.906 align:center line:-1 position:50% size:47% Because the ADE platform is open, it simplifies integration 00:06:04.906 --> 00:06:09.494 align:center line:-1 position:50% size:62% with a wide range of commercial 3D modelers, hardware-in-the-loop systems, 00:06:09.494 --> 00:06:12.831 align:center line:-1 position:50% size:62% and existing test and simulation environments. 00:06:12.831 --> 00:06:15.959 align:center line:-1 position:50% size:66% With AVs, market growth depends on confidence, 00:06:15.959 --> 00:06:19.129 align:center line:-1 position:50% size:37% and confidence comes from highly realistic testing. 00:06:19.129 --> 00:06:23.383 align:center line:-1 position:50% size:40% The ADE platform is ready to streamline the test pipeline. 00:06:23.383 --> 00:06:27.929 align:center line:-1 position:50% size:60% This is just one of the ways Keysight is helping OEMs and their suppliers 00:06:27.929 --> 00:06:30.849 align:center line:-1 position:50% size:39% realize their vision of mobility. 00:06:30.849 --> 00:06:33.226 align:center line:-1 position:50% size:45% That's all we have for this lesson. 00:06:33.226 --> 00:06:36.229 align:center line:-1 position:50% size:35% Join me in the next lesson as we discuss the gaps 00:06:36.229 --> 00:06:39.774 align:center line:-1 position:50% size:36% between real-world testing and software simulation 00:06:39.774 --> 00:06:43.945 align:center line:-1 position:50% size:53% of autonomous vehicles or advanced driver assistance systems.