Innovazione e gestione dei programmi sincronizzata e collaborativa per i nuovi programmi
Aerospaziale e difesa
Innovazione e gestione dei programmi sincronizzata e collaborativa per i nuovi programmi
EsploraIndustria automobilistica e trasporti
Integration of mechanical, software and electronic systems technologies for vehicle systems
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Innovazione dei prodotti attraverso la gestione efficace di processi integrati di formulazione, confezionamento e produzione
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Lo sviluppo di nuovi prodotti si avvale dei dati per migliorare la qualità e la redditività riducendo costi e time-to-market
Esplora il settoreEnergia e utilità
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
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Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
Explore IndustrySoluzioni per macchinari industriali e attrezzature pesanti
Integration of manufacturing process planning with design and engineering for today’s machine complexity
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Visibility, compliance and accountability for insurance and financial industries
Explore IndustrySettore navale
Innovazione nella cantieristica navale per ridurre i costi di sviluppo delle future flotte in modo sostenibile
Esplora il settoreMedia & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.
Explore IndustryApparecchiature medicali e farmaceutica
"Innovazione di prodotto personalizzata" attraverso la digitalizzazione per soddisfare la domanda del mercato e ridurre i costi
Esplora il settoreSmall & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore Industryphysics-based sensor simulation verification and validation
physics-based sensor simulation verification and validation
Physics-based sensor simulation supports road safety and comfort
High-fidelity sensor simulation is required to develop and test autonomous vehicles thoroughly. Simcenter Prescan is a leading simulation platform for testing and developing autonomous vehicle functionality. The physics-based sensor simulations of Simcenter Prescan provide the highest level of detail and are state-of-the-art in the market. However, are the quality and correctness of those high-fidelity sensor models ensured?
This webinar will discuss our approach to verification and validation of automotive sensor simulation, including the following topics:
Three key components are essential to provide an excellent physics-based simulation. Physical devices provide sensor-specific highway configuration, physical properties, noise, and patterns, while the simulation engine handles effects such as bounces (ray tracing), energy returns, and weather. The world component consists of a digital twin containing the geometry of 3D models, materials (measured, validated), and environment. By using a digital twin of the vehicle, engineers can design and test vehicle control algorithms to identify system performance under challenging conditions, find system boundaries and solve critical issues early.
Simcenter Prescan is the core simulation engine for environments, scenarios, sensors, AI, and controllers, and its representations contain the reflective properties for radar, camera, lidar, and ultrasonic sensors. Simcenter Prescan allows the reproduction of camera effects in simulation, including different fidelity outputs, reflection, weather and light effects, physical device, micro-doppler of wheels, ghost target detection, and doppler ambiguity. It also allows for Lidar effects reproduced in simulation, such as motion distortion, multi bounce, and physics-based material reflections. These sensor models can be scaled from basic ground truth information to full-wave propagation modeling for detailed sensor evaluations.
Automakers will have to prove the thoroughness of their development processes and robustness of the vehicle’s automated driving systems for occupant safety. Because of this, automated driving systems will have to react safely to all possible traffic scenarios under any likely weather and road conditions. However, the technology enabling this is complex and requires a validation and verification process that allows performance testing in a large number of circumstances. Fortunately, Simcenter Prescan can reproduce crucial real-world effects that affect system performance, allowing for accurate simulation validated against real-world measurements.
Watch the on-demand webinar to learn more about our physics-based sensor simulation solutions for autonomous vehicle development.
Speaker:Bart Heijke
Product Manager Software and Services, Siemens Digital Industries Software
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Physics-based sensor simulation supports road safety and comfort
High-fidelity sensor simulation is required to develop and test autonomous vehicles thoroughly. Simcenter Prescan is a leading simulation platform for testing and developing autonomous vehicle functionality. The physics-based sensor simulations of Simcenter Prescan provide the highest level of detail and are state-of-the-art in the market. However, are the quality and correctness of those high-fidelity sensor models ensured?
This webinar will discuss our approach to verification and validation of automotive sensor simulation, including the following topics:
Three key components are essential to provide an excellent physics-based simulation. Physical devices provide sensor-specific highway configuration, physical properties, noise, and patterns, while the simulation engine handles effects such as bounces (ray tracing), energy returns, and weather. The world component consists of a digital twin containing the geometry of 3D models, materials (measured, validated), and environment. By using a digital twin of the vehicle, engineers can design and test vehicle control algorithms to identify system performance under challenging conditions, find system boundaries and solve critical issues early.
Simcenter Prescan is the core simulation engine for environments, scenarios, sensors, AI, and controllers, and its representations contain the reflective properties for radar, camera, lidar, and ultrasonic sensors. Simcenter Prescan allows the reproduction of camera effects in simulation, including different fidelity outputs, reflection, weather and light effects, physical device, micro-doppler of wheels, ghost target detection, and doppler ambiguity. It also allows for Lidar effects reproduced in simulation, such as motion distortion, multi bounce, and physics-based material reflections. These sensor models can be scaled from basic ground truth information to full-wave propagation modeling for detailed sensor evaluations.
Automakers will have to prove the thoroughness of their development processes and robustness of the vehicle’s automated driving systems for occupant safety. Because of this, automated driving systems will have to react safely to all possible traffic scenarios under any likely weather and road conditions. However, the technology enabling this is complex and requires a validation and verification process that allows performance testing in a large number of circumstances. Fortunately, Simcenter Prescan can reproduce crucial real-world effects that affect system performance, allowing for accurate simulation validated against real-world measurements.
Watch the on-demand webinar to learn more about our physics-based sensor simulation solutions for autonomous vehicle development.
Speaker:Bart Heijke
Product Manager Software and Services, Siemens Digital Industries Software
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