Autonomous Driving Simulation Industry Chain Report, 2020-2021 (I)
New York, April 27, 2021 (GLOBE NEWSWIRE) – Reportlinker.com announces the publication of the report “Autonomous Driving Simulation Industry Chain Report, 2020-2021 (I)” – https://www.reportlinker.com/p05877104/? utm_source = GNW
From 2020 to 2021, foreign and domestic enterprises have stepped up the layout in the field of autonomous driving simulation.
Foreign simulation giants pledge to build closed-loop simulation platforms for erecting industrial barriers
In the transition from industrial simulation to autonomous driving simulation, giants like Ansys and Siemens have implemented various autonomous driving simulation modules through continuous acquisition, cooperation and technological development, strengthened the closed loop of the simulation platform and builds industrial barriers. At present, the layout of large foreign companies covers more than 80% of the simulation industry, and which is continuously updated.
From 2020 to 2021, leading overseas simulation companies updated and optimized the following industries:
01 More models of sensors such as camera, radar, LiDAR, etc. are supported
Ansys: unified simulation with the addition of camera, LiDAR and radar
On January 7, 2020, FLIR Systems, Inc. and ANSYS partnered to provide superior hazard detection capabilities for assisted driving and autonomous vehicles (AV) – enabling automakers to deliver unprecedented vehicle safety. Through this partnership, FLIR will integrate a fully physics-based thermal sensor into ANSYS ‘state-of-the-art driving simulator to model, test and validate thermal camera designs in an ultra-realistic virtual world. The new solution will reduce OEM development time by optimizing thermal imaging camera placement for use with tools such as Automatic Emergency Braking (AEB), pedestrian detection and in future AVs.
In January 2021, ANSYS 2021 R1 extended its sensor simulation capabilities with scanning and rotating lidar models to improve the reliability of audiovisual simulation. At the same time, he used a new GPU to speed up the radar simulation.
Siemens: addition of LiDAR simulation
In September 2020, Siemens partnered with XenomatiX to add a generic physics-based LiDAR simulation model to its Simcenter Prescan software. The knowledge and expertise of XenomatiX’s optical team, coupled with its advanced solid-state LiDAR technology, can enable Siemens to refine its simulation model and validate it with actual measurements from XenomatiX.
Currently, Prescan’s LiDAR model can accurately describe all optical properties (including surface shape, reflection characteristics, texture, and structure) of materials.
CARLA: LiDAR sensor upgrade
In September 2020, CARLA 0.9.10 came with the trunk full of improvements, with notable dedication to sensors. The LIDAR sensor has been upgraded and a brand new semantic LiDAR sensor provides much more information about the environment.
02 Cloud Simulation extension
Cloud computing capabilities can support large-scale simulation, cover massive driving scenarios, perform high concurrency run tests, and accelerate simulation run speed. Therefore, massively parallel acceleration in the cloud is one of the core capabilities of autonomous driving simulation test platforms. Currently, the autonomous driving industry generally chooses Microsoft Azure as their cloud simulation partner.
In October 2020, Ansys worked with Microsoft to deliver cloud-enabled autonomous vehicle (AV) simulation capabilities to joint customers. Ansys VRXPERIENCE, an AV virtual testing platform, can unlock massive scalability when run on Azure, allowing users to test millions of virtual kilometers across countless scenarios in a fast fashion – dramatically optimizing security and development costs.
In December 2020, AirSim added development environment deployment documents on Azure to support cloud simulation.
Siemens PreScan is compatible with Microsoft Azure, Amazon AWS, as well as some Chinese cloud service providers and cloud platforms.
03 Joint simulation has become a key direction of development
Different simulation platforms focus on simulation modules. For example, Carsim, CarMaker, VI-Grade, VeDYNA, etc. focus on simulating vehicle dynamics, while Vissim, SUMO, etc. keep an eye on the traffic simulation. From 2020 to 2021, more and more solution providers have opened software interfaces and carried out joint simulations with other solutions.
The new version of Prescan released in January 2020 supports large-scale traffic flow generation. This functionality is supported by the Aimsun plug-in and the PTV Vissim plug-in. The Aimsun plug-in allows the synchronization of the original Aimsun micro traffic scenarios; the Vissim plug-in can perform collaborative simulation and data transmission between TASS PreScan and PTV Vissim.
CARLA 0.9.9 released in April 2020 can perform collaborative simulation with SUMO. In this mode, actions or events that occur in one simulator will be automatically propagated to another simulator.
CARLA 0.9.11 released in December 2020 enables co-simulation between CarSim and CARLA, allowing users to create CarSim vehicles, taking control of dozens of parameters, including the suspension system and tires.
In January 2021, Mechanical Simulation Corporation announced the release of versions 2021.0 of the CarSim®, TruckSim®, BikeSim® and SuspensionSim® vehicle simulation tools. This version focuses on scenes and scenarios to improve ease of setup and testing. The user interface and mathematical models have improved support for third-party software. Going forward, the company will continue to develop tight interfaces with third-party software from technology partners such as Epic Games, NVIDIA, atlatec, Foretellix, monoDrive, Siemens and CARLA.
National companies have embarked on autonomous driving simulation from a scenario perspective
The greater the coverage of scenarios that autonomous driving systems can handle, the wider the area that autonomous vehicles can travel. With the upgrade of autonomous driving functions, the number of scenarios that need to be tested and verified has increased exponentially during the upgrade and iteration from L1 to L4 / L5, and the building of libraries of scenarios has become an essential part of the simulation industry chain.
At present, Chinese companies such as Tencent, CATARC, CAERI, Baidu, 51World have created their own libraries of autonomous driving simulation scenarios.
Tencent: Over 99% of autonomous vehicle simulation scenarios can be covered
Based on powerful game engine capabilities, Tencent’s autonomous driving simulation platform, TAD Sim, works flawlessly in real life and accurate scenarios. Its scenario generation system can derive 20 million virtual scenarios based on 2,000 types of logical scenarios, covering over 99% of automated vehicle simulation scenarios.
In June 2020, Tencent launched TAD Sim 2.0, the next generation of its autonomous driving simulation platform, to improve the development and efficiency testing of autonomous driving. Compared to the previous generation, TAD Sim 2.0 bridges the gap between road test data and virtual scenarios. With higher resolution in 3D scenario reconstruction and sensor simulation, the platform can bring simulation closer to reality. A wide variety of environments, weather conditions and even extreme traffic conditions can be generated by combining road test data and virtual scenarios to meet the needs of autonomous driving tests in TAD Sim 2.0.
However, Tencent will not stop at autonomous driving. Its further development is to further explore its own capabilities, build virtual twin cities, and facilitate smart cities and smart transportation. Specifically, it will integrate its gaming technology, cloud technology, and simulation technology to create a virtual twin platform to perform mapping between the real world and the virtual world, and self-learning and updating. day in the virtual world. In the future, it will achieve iteration, prediction, decision-making and other abilities.
CATARC: AD Scenario Generator debuts and built-in scenario library covers 4000 scenarios
CATARC’s self-developed simulation platform, AD Chauffeur, has an integrated scenario library covering natural driving scenarios, standard and regulatory scenarios, CIDAS hazardous accident scenarios and restructuring scenarios. experience, etc.
The AD Driver 2.0 released by CATARC in September 2020 adds the AD scenario generator, which enables scenario building, conversion of OpenSCENARIO multi-source data formats, logical scenario splicing and reorganization to support the generation of scenarios. At the same time, it expands the built-in scenario library to cover 4000 scenarios, which is convenient for customers.
CAERI: typical accident scenarios, autonomous driving accident scenarios and expected functional safety scenarios are added
In December 2020, CAERI released the “i-VISTA China V3.0 Typical Driving Scenario Library”. Based on the natural driving scenarios, standard and regulatory scenarios, experience scenarios and a small number of accident scenarios from the previous version, CAERI added typical accident scenarios, emergency scenarios. autonomous driving accident and expected functional safety scenarios. It supports autonomous driving simulation testing and evaluation, as well as application to simulation systems such as MIL, SIL and HIL.
In addition to the companies mentioned above, Baidu is leveraging Apollo technology to create a library of simulation scenarios. 51World’s “All-Element City Scenario Automation Platform (AES2021)” has improved scenario coverage and accuracy.
Generally speaking, Chinese companies still struggle in their own way in building scenario libraries, facing issues such as inconsistent scenario data, difficulties in establishing a simulation assessment and certification system and autonomous driving test. Therefore, the establishment of scenario library standards has become one of the current concerns in the field of simulation.
Read the full report: https://www.reportlinker.com/p05877104/?utm_source=GNW
ReportLinker is an award winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.