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ViViD Virtual Environment Verification System

A virtual environment system that can reproduce various conditions

ViViD models cameras, sensors, and driving environments to verify automatic driving systems.
By reproducing various environments and creating scenarios for test conditions ViViD can repeatedly perform tests that are difficult to perform in the real world.
*Scenarios are XML files with settings that describe the behavior and environments of pedestrians and vehicles. 

ViViD composition

ViViD (a virtual environment) outputs virtual in-vehicle camera videos or virtual sensor detection results to an electronic control unit (ECU). The ECU receives the data as measurement signal data taken during actual driving.

Based on the received data, the ECU recognizes, judges, and manipulates the automatic driving algorithm and instructs the test vehicle in the ViViD system to take its next actions.

Function list

[Road model]
Real-world locations (expressway, ordinary road, test course)
Fictional courses (simple travel course creating function)
Road shape import (such as OpenDrive)
Course environment (such as OpenDrive)

[Test vehicle]
3D vehicle model (commercially available vehicle, special vehicle, fictional vehicle)
Interface with ECU (steering instructions to ECU [accelerator, steering wheel, etc.])
Instrument panel and meters (such as HUD [coloring, illuminance, layout, etc.])
Headlights (active headlights [LED color, number, locations, irradiation angle], etc.) 

[Sensor model (plug-in)]
Image sensor model: Optical camera (monocular, stereo, wide-angle/fisheye/omnidirectional)
Scanner sensor model (LiDAR, millimeter-wave radar, sonar/noise)
Object detection model (distance and rectangular patterns of objects [other vehicles, people, signals, traffic signs, etc.])
Vehicle position estimation model (GPS locational information [GNSS, velocity, acceleration], LiDAR point cloud and dynamic mapping for simultaneous localization and mapping [SLAM])

[Traffic simulation]
Other vehicles and pedestrians (scenario function for reproduction of test requirements)

[Driving environment]
Weather (fog, rainfall [reflection by wet roads], snowfall, snow accumulation [wheel ruts])
Time: Sunlight (effects of shading and backlighting due to changes in solar altitude; dark/light changes at tunnel entrances/exits)
Changes over years (fading of white lines, muddiness, and seasonal changes in trees)
Lighting (nighttime effects [street lights, shop illumination, light from oncoming cars])

SLP Specification Tool

Product overview

SLP (product name: a specifying and checking tool) performs morphological and syntactical analysis of a required specification written in natural language, and automatically converts it to a particular sentence structure and checks the required specification for oversights and omissions. For software with source code where the required specifications are in the form of nothing but a memo, SLP reads the source code backward, which helps you identify required specifications to make them in a later stage (currently there are many cases of agile development projects where such specifications are written afterwards). In this case, we also develop a bilingual dictionary of specification terms (but manually) to help you convert your required specifications into natural language. This raises the quality of your required specifications and greatly reduces the manual work required to develop specifications.

Previous deliveries 

A manufacturer for outsourcing its product development with software specifications.

Assumed uses, business segments, business styles

General manufacturers specializing in outsourcing automotive and other systems.

Catalogue/Pamphlet/Proposed

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Marketing Support Department, SMRJ