In this post, we will discuss the advanced driver assistance systems (ADAS) and various supporting labs. <\/p>\n\n\n\n
ADAS and demonstrators<\/strong> <\/h2>\n\n\n\nThere are three demonstrators to support the development and testing of autonomous driving systems<\/a>. The main purpose for the demonstrators is to thoroughly simulate and test ADAS controllers. They are: <\/p>\n\n\n\n\n- Hardware-in-the-Loop (HiL) for testing ADAS controllers in rapid prototyping environment <\/li>\n\n\n\n
- Hardware-in-the-Loop (HiL) for testing ADAS controllers in final product testing environment <\/li>\n\n\n\n
- Vehicle-in-the-loop (VIL) for testing the ADAS product within the actual vehicle <\/li>\n<\/ul>\n\n\n\n
HiL rapid prototyping <\/h4>\n\n\n\n
At the very early design stage of development, the rapid prototyping environment solution plays an important role. It is used for testing a controller\u2019s key algorithms against a large number of simulation scenarios. <\/p>\n\n\n\n
For example, using the rapid prototyping environment, a real vehicle camera views a virtual world running on a screen. As the screen simulates the road, the camera sends that image to the rapid prototype platform. The perception algorithm is used to detect the lane lines in various conditions. The lane keep assist (LKA) algorithm processes the information on the LKA electronic control unit (ECU) and keeps the vehicle in-between the lane lines. <\/p>\n\n\n
\n![\"\"](\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/04\/DMAPI_line_placement_use_case2-1.jpg\")
A scenario of testing the Lane Keeping Assistance (LKA) algorithm on a narrowing road with yellow marks over the standard white marks<\/figcaption><\/figure><\/div>\n\n\nWith sharp, brightly colored lane lines, the algorithm will deliver the correct information. In the real world, lane lines fade or may be covered with snow. As a consequence, they\u2019re not always nicely defined shaped lines. The rapid prototyping environment can determine how the algorithm reacts in these outlier scenarios. Thereby allowing the design team to use the rapid prototyping environment solution to further optimize the algorithm. Additionally, it ensures to respond correctly to such wide-ranging conditions. <\/p>\n\n\n\n
HiL subsystem testing <\/h4>\n\n\n\n
At this point in the design phase, the vehicle doesn\u2019t have an ECU yet. This provides input and output over the vehicle CAN bus. Therefore, you move to the final product testing environment to incorporate a production-level ECU for the final subsystem testing. For example, the LKA algorithm block which was normally implemented as software on a general PC, will run in a dedicated LKA ECU with its own communication interface, attached to an industrial camera that has its own perception algorithm ECU. <\/p>\n\n\n\n
ViL final product testing <\/h4>\n\n\n\n
Vehicle-in-the-loop comes after final product testing, where the algorithm on the production level ECU is installed in a real vehicle. It allows to experience real-life scenarios in a virtual environment, while the vehicle drives safely on an obstacle-free test track. Screens inside the vehicle display the virtual world to gauge the entire vehicle\u2019s reaction to a pedestrian crossing, for instance. The sensors detect the pedestrian in the virtual world. Next, they generate a real signal on the compass of the car which is received by the brake\u2019s ECU. If the vehicle is too close to the pedestrian, then the car will automatically brake. The automatic emergency brakes system engages, and the vehicle decelerates. <\/p>\n\n\n\n
The VIL demonstrator ensures fast and reliable simulation with an intuitive graphical user interface. That makes it easy to pick and run a variety of scenarios. Although there is a live track for ADAS testing, the design team does not need real pedestrians or bicyclists. They can have the actual car ‘drive\u2019 in thousands of scenarios. In just about any driving scenario imaginable, they generate outputs to determine if the algorithms, camera ECU and brake system all work as expected. <\/p>\n\n\n\n
Setting<\/strong> up<\/strong> with <\/strong>Siemens <\/strong>Simcenter<\/strong> <\/h2>\n\n\n\nThe Chengdu government wanted to build an engineering center, for autonomous and electric vehicle, to showcase the latest technology. It is not just a display of future possibilities or visions. Instead it provides real-world capabilities which the user can immediately deploy in their development projects. <\/p>\n\n\n\n
Visitors and potential customers can use this center to gain a competitive advantage needed to stay ahead in this market. For the Chengdu ADAS lab in particular, visitors see several steps of the overall development process. It shows how Siemens products and services help to validate ADAS algorithms in order to deliver safe and tested products. <\/p>\n\n\n\n
Simcenter <\/a>software, part the Siemens Xcelerator portfolio, forms the basis of all these setups. It ensures flexibility while providing advanced computational power to perform the simulations in real time. For developing the ADAS demonstrator, the Simcenter Engineering<\/a> experts deliver advanced and innovative solutions by uniquely combining Simcenter Simulation and Testing tools. The AV\/EV center provides popular systems like the lane assist system for final product testing along with vehicle-in-the-loop setups. Examples are adaptive cruise control and automatic emergency braking systems. <\/p>\n\n\n\nCheck here our Engineering ADAS capabilities<\/a> or read this interesting blog post on how to unlock orchestrated cluster-based simulation for large scale virtual verification<\/a>.<\/p>\n\n\n\nThe Chengdu ADAS lab – 5 years from now<\/strong> <\/h2>\n\n\n\n\n![\"\"](\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/04\/AV-MIL-SIL.jpg\")
Rendering of the Chengdu ADAS lab focusing on the HIL demos<\/figcaption><\/figure>\n\n\n\n![\"\"](\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/04\/AV-HIL-VIL.jpg\")
Rendering of the Chengdu ADAS lab focusing on the HIL VIL demos<\/figcaption><\/figure>\n<\/figure>\n\n\n\nBoth startups and larger car companies can use the Chengdu center\u2019s technologies. However, startups will reap the biggest advantage because, for them, it provides invaluable hands-on experience. With these capabilities, they can quickly rethink and optimize their development approach and quickly deploy their technology solutions. <\/p>\n\n\n\n
The center also includes the ability to set up tests and validate systems at their own companies similar to the ones shown in the Chengdu showroom. Due to these advanced technologies, the area, and the Chengdu ADAS lab, will attract companies starting their autonomous vehicle development. This in turn will hopefully enable the area to become a cluster and magnate for autonomous and electric vehicle development. <\/p>\n\n\n\n
\u201cThe auto industry is one of Chengdu\u2019s pillar industries. The Internet of Vehicles (Intelligent Connected Vehicles) is the future of vehicles,\u201d the mayor of Chengdu stated. \u201cSiemens boasts a long history of innovation and is a leader in this field. This is a massive step toward building Chengdu into the \u2018Auto Silicon Valley\u2019 and becoming a leading base for the Internet of Vehicles (Intelligent Connected Vehicles).” <\/p>\n\n\n\n
Stay tuned for the next blog in this series where we discuss the vehicle center\u2019s battery demonstrator. <\/p>\n\n\n\n
A special thanks to the experts Raymond van Markwijk and Oliver Philipp for their insight and input for writing this post. <\/p>\n\n\n\n
<\/p>\n\n\n\n
- \n
- Hardware-in-the-Loop (HiL) for testing ADAS controllers in rapid prototyping environment <\/li>\n\n\n\n
- Hardware-in-the-Loop (HiL) for testing ADAS controllers in final product testing environment <\/li>\n\n\n\n
- Vehicle-in-the-loop (VIL) for testing the ADAS product within the actual vehicle <\/li>\n<\/ul>\n\n\n\n
HiL rapid prototyping <\/h4>\n\n\n\n
At the very early design stage of development, the rapid prototyping environment solution plays an important role. It is used for testing a controller\u2019s key algorithms against a large number of simulation scenarios. <\/p>\n\n\n\n
For example, using the rapid prototyping environment, a real vehicle camera views a virtual world running on a screen. As the screen simulates the road, the camera sends that image to the rapid prototype platform. The perception algorithm is used to detect the lane lines in various conditions. The lane keep assist (LKA) algorithm processes the information on the LKA electronic control unit (ECU) and keeps the vehicle in-between the lane lines. <\/p>\n\n\n
\nA scenario of testing the Lane Keeping Assistance (LKA) algorithm on a narrowing road with yellow marks over the standard white marks<\/figcaption><\/figure><\/div>\n\n\n With sharp, brightly colored lane lines, the algorithm will deliver the correct information. In the real world, lane lines fade or may be covered with snow. As a consequence, they\u2019re not always nicely defined shaped lines. The rapid prototyping environment can determine how the algorithm reacts in these outlier scenarios. Thereby allowing the design team to use the rapid prototyping environment solution to further optimize the algorithm. Additionally, it ensures to respond correctly to such wide-ranging conditions. <\/p>\n\n\n\n
HiL subsystem testing <\/h4>\n\n\n\n
At this point in the design phase, the vehicle doesn\u2019t have an ECU yet. This provides input and output over the vehicle CAN bus. Therefore, you move to the final product testing environment to incorporate a production-level ECU for the final subsystem testing. For example, the LKA algorithm block which was normally implemented as software on a general PC, will run in a dedicated LKA ECU with its own communication interface, attached to an industrial camera that has its own perception algorithm ECU. <\/p>\n\n\n\n
ViL final product testing <\/h4>\n\n\n\n
Vehicle-in-the-loop comes after final product testing, where the algorithm on the production level ECU is installed in a real vehicle. It allows to experience real-life scenarios in a virtual environment, while the vehicle drives safely on an obstacle-free test track. Screens inside the vehicle display the virtual world to gauge the entire vehicle\u2019s reaction to a pedestrian crossing, for instance. The sensors detect the pedestrian in the virtual world. Next, they generate a real signal on the compass of the car which is received by the brake\u2019s ECU. If the vehicle is too close to the pedestrian, then the car will automatically brake. The automatic emergency brakes system engages, and the vehicle decelerates. <\/p>\n\n\n\n
The VIL demonstrator ensures fast and reliable simulation with an intuitive graphical user interface. That makes it easy to pick and run a variety of scenarios. Although there is a live track for ADAS testing, the design team does not need real pedestrians or bicyclists. They can have the actual car ‘drive\u2019 in thousands of scenarios. In just about any driving scenario imaginable, they generate outputs to determine if the algorithms, camera ECU and brake system all work as expected. <\/p>\n\n\n\n
Setting<\/strong> up<\/strong> with <\/strong>Siemens <\/strong>Simcenter<\/strong> <\/h2>\n\n\n\n
The Chengdu government wanted to build an engineering center, for autonomous and electric vehicle, to showcase the latest technology. It is not just a display of future possibilities or visions. Instead it provides real-world capabilities which the user can immediately deploy in their development projects. <\/p>\n\n\n\n
Visitors and potential customers can use this center to gain a competitive advantage needed to stay ahead in this market. For the Chengdu ADAS lab in particular, visitors see several steps of the overall development process. It shows how Siemens products and services help to validate ADAS algorithms in order to deliver safe and tested products. <\/p>\n\n\n\n
Simcenter <\/a>software, part the Siemens Xcelerator portfolio, forms the basis of all these setups. It ensures flexibility while providing advanced computational power to perform the simulations in real time. For developing the ADAS demonstrator, the Simcenter Engineering<\/a> experts deliver advanced and innovative solutions by uniquely combining Simcenter Simulation and Testing tools. The AV\/EV center provides popular systems like the lane assist system for final product testing along with vehicle-in-the-loop setups. Examples are adaptive cruise control and automatic emergency braking systems. <\/p>\n\n\n\n
Check here our Engineering ADAS capabilities<\/a> or read this interesting blog post on how to unlock orchestrated cluster-based simulation for large scale virtual verification<\/a>.<\/p>\n\n\n\n
The Chengdu ADAS lab – 5 years from now<\/strong> <\/h2>\n\n\n\n
\n Rendering of the Chengdu ADAS lab focusing on the HIL demos<\/figcaption><\/figure>\n\n\n\n Rendering of the Chengdu ADAS lab focusing on the HIL VIL demos<\/figcaption><\/figure>\n<\/figure>\n\n\n\n Both startups and larger car companies can use the Chengdu center\u2019s technologies. However, startups will reap the biggest advantage because, for them, it provides invaluable hands-on experience. With these capabilities, they can quickly rethink and optimize their development approach and quickly deploy their technology solutions. <\/p>\n\n\n\n
The center also includes the ability to set up tests and validate systems at their own companies similar to the ones shown in the Chengdu showroom. Due to these advanced technologies, the area, and the Chengdu ADAS lab, will attract companies starting their autonomous vehicle development. This in turn will hopefully enable the area to become a cluster and magnate for autonomous and electric vehicle development. <\/p>\n\n\n\n
\u201cThe auto industry is one of Chengdu\u2019s pillar industries. The Internet of Vehicles (Intelligent Connected Vehicles) is the future of vehicles,\u201d the mayor of Chengdu stated. \u201cSiemens boasts a long history of innovation and is a leader in this field. This is a massive step toward building Chengdu into the \u2018Auto Silicon Valley\u2019 and becoming a leading base for the Internet of Vehicles (Intelligent Connected Vehicles).” <\/p>\n\n\n\n
Stay tuned for the next blog in this series where we discuss the vehicle center\u2019s battery demonstrator. <\/p>\n\n\n\n
A special thanks to the experts Raymond van Markwijk and Oliver Philipp for their insight and input for writing this post. <\/p>\n\n\n\n
<\/p>\n\n\n\n