Core Products
Simulation software toolchain PanoSim, Driving simulator PanoDrive, Digital twin simulation platform PanoTwin, simulation experimental platform PanoPilot
⨠Integrated Simulation Platform for Autonomous Driving PanoSim
An integrated simulation and testing software system for automotive autonomous driving, supporting research and testing including autonomous driving perception, decision-making, planning and control, as well as ADAS/V2X. Include vehicle dynamics, driving environment and traffic model, sensor models, and a rich scene library.
  • 01.Simulation software toolchain
  • Data processing toolchain
  • 03.High-precision model

Simulation software toolchain

◎ PanoExp: Autonomous driving simulation experiment configuration, test operation, and center console

◎ FieldBuilder/WorldBuilder: Simulation site and scene editor, covering world models such as roads, traffic facilities, various obstacles, weather lighting, and traffic flow

◎ Vehicle Builder: a vehicle editor with a rich library of vehicle models built-in, supporting the 3D shape and dynamic parameter settings of the main vehicle

◎ SensorBuilder: a sensor editor that supports various sensor installations and simulation feature parameter settings. It also supports application oriented simulation of environmental information such as obstacles, lane markings, and parking spaces

◎ TestBuilder: Provides functions such as generalization of key experimental parameters, batch run testing, cloud platform simulation testing, and automatic evaluation. It is equipped with multiple detectors and reference evaluators, and supports user-defined evaluators

⨠High-precision Vehicle Dynamics Simulation Software PanoCar

PanoCar is a self-developed high-precision and powerful vehicle dynamics simulation software. It not only integrates complex and accurate vehicle dynamics models, but also features efficient simulation and high stability numerical calculations. It can meet the real-time simulation requirements of large-scale, long-period, and stable reliability under various operating systems such as Windows/Linux, real-time hardware platforms such as dSPACE and NI, and various software environments such as Matlab/Simulink.

  • 01. The simulation results are highly consistent
  • 02. Featured advantages
  • 03. Application scenarios

The simulation results are highly consistent

Compared with mainstream international vehicle dynamics models, the simulation results under various test conditions (including extreme conditions) are highly consistent

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⨠Driving simulator PanoDrive
Equipped with high fidelity scene display, high flexibility human-machine interaction interface (HMI), exquisite cockpit, and high-precision steering force simulation system, it provides efficient, safe, and reliable driver in the environment (DIL) simulation support for the development and testing of related technologies and products such as intelligent driving and human-machine co driving.
  • High precision steering force simulation

High precision steering force simulation

◎ A high-precision steering force sensing model based on artificial intelligence technology, with an accuracy of up to 0.2Nm. The comparison with measured data under various driving conditions is highly consistent and far higher than that of similar competitors

◎ Using high- performance permanent magnet synchronous motor and SVPWM control technology, with a delay of less than 3ms


⨠Digital twin simulation platform PanoTwin
Through digital twin technology, the physical world's real site and the main vehicle are constructed into corresponding digital sites and main vehicles in the virtual world. At the same time, complex simulation scenes and traffic are constructed and projected onto the real site and main vehicle, creating a rich virtual real fusion simulation development and testing system.
  • 1.Major function
  • 2.Product features

Major function

◎ Provide a complete and powerful chain of automotive autonomous driving simulation tools

◎Support the rapid construction of rich autonomous driving scenarios in virtual environments, including edge scenes

◎Provide rich data I/O interfaces and open APIs to support the development of efficient automotive autonomous driving algorithms

◎Support joint simulation under Matlab/Simulink or simulation without Simulink environment

◎ Support algorithm development on different platforms such as Simulink, C/C++, Python, etc

⨠Simulation experimental platform PanoPilot
An integrated simulation and testing software and hardware system for automotive autonomous driving, integrating simulation software toolchain (PanoSim), driving simulator (PanoDrive), vehicle simulator (PanoCar), and sensor simulator (SensorBox).
  • Main Features

Main Features

◎Based on the layered characteristics of the autonomous driving stack, providing rich data interface support - truth/target/signal level perception data, map data, traffic data, dynamics data, etc., supporting the integration and decoupling development of control, decision-making/planning, perception algorithms, etc

◎Develop an object simulation system for rapid construction, providing diverse I/O interface methods such as Ethernet, USB, CAN, LIN, board injection, etc. Support multiple algorithm development platforms, such as Simulink/C++/Python, etc

◎ Support the integration of mainstream autonomous driving software system frameworks such as ROS/ROS2/CyberRT

◎Provide multiple physical body in the loop simulation tests, including MIL/SIL/HIL/DIL/VIL and other methods, at different stages, in accordance with the V-model process of automotive forward development

Product Highlights
After more than ten years of technological accumulation and application accumulation, many breakthroughs have been made in the fields of intelligent driving simulation testing in automobiles, and unique technological leading advantages have been formed.

High precision and efficient

vehicle dynamics model

The PanoSim vehicle dynamics model (PanoCar) is highly consistent in simulation accuracy with measured data.


High fidelity driving environment and environmental sensor model

The key technological precipitation has formed the complex driving environment (roads and fields) of automobiles and the modeling of various onboard environmental sensors.

Complete and integrated simulation toolchain

This includes a seamless toolchain and data link from offline simulation, physical/hardware in the loop, and driver in the loop real-time simulation to actual vehicle testing.

Automated testing and evaluation support

Automated testing client with built-in rich scenarios and generalization capabilities... providing one-stop automated testing, evaluation, and report output capabilities.


Rich I/O interfaces and developed software and hardware architecture

Support rich sensing data signal interfaces, as well as open-loop and closed-loop dynamic main vehicle control signal input support; Provide rich API support for secondary development and joint simulation.

High fidelity driving simulator force simulation

The high-precision following and low delay response of the force feedback system have been achieved, achieving international leading levels in various technical indicators such as force simulation accuracy and system response time.

Product Applications
PanoSim can be widely applied to the positive research and testing needs of various links in the automotive industry chain at different stages.

  • Real time in the loop with multiple physical entities
  • Simulation development and testing
  • Human machine interaction/human-machine co driving
  • Perception/Decision/Planning/Control Algorithms
  • Multi node distributed real-time simulation
  • Digital twin/cloud simulation


MIL/SIL/HIL/DIL/VIL Real time multi physical body in the loop


Provide various I/O interfaces for convenient access to real-time processors, controllers, sensors, driving simulators, as well as various software and hardware systems including vehicles, their chassis, and power actuators, to meet the software and hardware development and simulation testing needs of autonomous driving technology and products at different stages and stages.

ADAS/V2X and Autonomous Driving Simulation Development and Testing


Support advanced driving assistance systems (ADAS) including adaptive cruise control (ACC), automatic emergency braking (AEB), lane keeping assistance (LKA), automatic parking (AP), traffic congestion assistance (TJP), etc., as well as simulation development and testing of other autonomous driving technologies and products.


Driving simulation experience, human-machine interaction, and human-machine co driving

Support high fidelity driving experience, including driving experience under different road, traffic and weather environments, ADAS function and auto drive system experience support the development and testing of human-computer interaction and human-computer co driving system.


Development of autonomous driving perception/decision-making/planning/control algorithms

Integrating high fidelity road and environment models, traffic flow and intelligent agent models, sensor models, and vehicle dynamics models, it supports algorithm development, model training, and testing requirements for autonomous driving perception and decision-making, planning and control.

Multi node distributed real-time simulation

Through high fidelity real-time environment rendering, high-precision sensor models, distributed real-time simulation architecture, high computing power, real data interface simulation, etc., support multi sensor distributed fleet simulation under the real EE architecture of vehicles, including cameras, ultrasonic radar, millimeter wave radar, LiDAR, etc., as well as the development and testing of in the loop autonomous driving algorithms such as data processors, motion controllers, and driving simulators.

Digital twin testing and high concurrency cloud simulation

Support digital twin testing of road, traffic, and meteorological models in virtual environments, environmental sensor models, and real-world vehicles and onboard software and hardware systems; Support cloud based integration of human vehicle road environment information and cloud based high concurrency real-time simulation; Support real-time online learning and model training on cloud platforms, as well as efficient iteration and simulation testing of autonomous driving algorithms.