Empower Autonomous Driving

PanoSim is an integrated simulation testing platform, aimed to support research and development of autonomous driving, including simulation test of ADAS, V2X, algorithm of environmental perception, decision-making and planning, and control execution, etc. It integrates high-precision vehicle dynamics models, highly realistic driving environment and traffic models, highly realistic environmental sensor models, and rich scenario database. It supports co-simulation with Matlab/Simulink, and provides integrated solutions for offline simulation, real-time hardware-in-the-loop (MIL/SIL/HIL/VIL) simulation, and driving simulators. It also provides digital-twin simulation with virtual-real fusion, cluster simulation, high-concurrency cloud simulation, etc. PanoSim has an open architecture with strong expandability and rich APIs to facilitate third-party and customized development. PanoSim is easy to use with user-friendly graphic interfaces. It has been widely adopted by many OEMs and research institutions both domestic and abroad, such as GM, Daimler, SAIC Motor, Dongfeng Motor, Xpeng Motors, Horizon Robotics, Joyson Electronics, etc.

PanoCar features a complex, highly efficient, and high-precision vehicle dynamics model. It adopts a classic multi-body dynamics topology with 14 rigid-body degrees of freedom (DOF), coupling a system dynamic state space constructed by 74 high-order ordinary differential equations (ODEs) to form a full-dimensional nonlinear vehicle dynamics model. Building upon the vehicle body modeling, it also encompasses numerous models, including the engine, powertrain, electric motor and its transmission system, battery system, 3D aerodynamics, steering system, suspension system, braking system, tires, 3D roads, driver, and driving maneuvers.

Its vehicle dynamics model not only delivers high simulation precision but also supports long-term stable simulations, demonstrating exceptional numerical stability and robustness. The model code is highly portable, computationally efficient, and offers strong real-time performance. It can operate in real-time or non-real-time within Windows or Simulink environments, and the model supports real-time execution on hardware platforms such as NI, Speedgoat, and PolarBox.

PanoDrive is based on a high-precision vehicle dynamics model, the system features high-fidelity scene rendering, a highly flexible human-machine interaction interface (HMI), and an intricately designed cockpit. Notably, it includes a high-precision steering force feedback system, which together provides efficient, high-fidelity, safe, and reliable driver-in-the-loop (DIL) simulation support for the development and testing of intelligent driving, human-machine co-driving, and other related technologies and products.

PanoTwin is an important real-time simulation platform of the PanoTwin-PanoPilot product series. Based on modern digital twin and virtual-real fusion simulation technology, by realistically constructing digital twins that map real vehicles in the physical world in the virtual world, the advantages of real vehicles in the PanoSim simulation toolchain are fully exerted. The rich scene and scene construction advantages in the PanoSim simulation toolchain (including roads and traffic flows, weather and lighting, etc.), sensor modeling and virtual perception advantages, data processing and visualization advantages, algorithm development platform advantages, and automated testing and evaluation advantages are exploited to significantly improve the confidence level of simulation and the efficiency of simulation testing.

PanoHIL is a hardware-in-the-loop (HIL) simulation test platform for automotive R&D testing, covering two major directions: ADAS systems and braking systems. The platform supports applications such as autonomous driving algorithm development, function verification, reliability testing, and teaching and scientific research through high-precision real-time simulation, virtual scene construction, controller hardware access, and closed-loop verification.