ASM for Smart Traffic and Sensor Simulation - dspace.com€¦ · ASM for Smart Traffic and Sensor...

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Transcript of ASM for Smart Traffic and Sensor Simulation - dspace.com€¦ · ASM for Smart Traffic and Sensor...

ASM for Smart Traffic and Sensor SimulationMichael Peperhowe, Group-Manager ASM VD & Traffic

dSPACE GmbH · Rathenaustr. 26 · 33102 Paderborn · Germany

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Agenda

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1. ASM for ADAS/AD – Overview

2. ASM Road

Build up from scratch

Import real data

3. ASM Traffic

Build up from scratch

ASM smart traffic

Coupling to SUMO / Vissim

4. Sensor Simulation

Configure MotionDesk Sensors

ASM for ADAS / AD

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ASM for ADAS and Autonomous Driving (AD)

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Road NetworksRoads and intersections

Lane support

Artifical/ real world roads

Road import

Roadside obstacles

Traffic ObjectsVehicles, pedestrians

Traffic signs

Buildings

Parking vehicles

Traffic SensorsObject list simulation

Target list simulation

Raw data generation

Vehicle SimulationVehicle dynamics model

Drivetrain

Soft-ECU network

Driver model

Maneuver

ASM Road

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ASM Road – Key Features

Road networks consisting of

roads and junctions

Independent height and surface

definitions

Lanes with smooth transitions and

specific line definitions

Easy-to-use interactive road editor

in ModelDesk

Data conversion from real world

road data

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Live Demo – Building up Road from Scratch

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ASM Road – Conversion from Real Data

OpenDRIVE import and export, OpenCRG import

GPS or X,Y,Z measurement data

OpenStreetMaps, ADAS RP, Here,

SHAPE, Google Earth, HAD maps (*)

Real intersection

Road

conversion

© BLOM

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(*) in the context of projects

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OSM Road Conversion Example

Find road network in Open Street Map

Set filters for roads, (buildings, …)

Store the data in Layers (.osm)

Convert data to ASM data

with dSPACE OSM Converter1)

Import in ModelDesk

Add crossings, heights,

buildings, traffic lights

1) Available for ASM Environment/Traffic customers

Live Demo – Import Road from OSM

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ASM Traffic

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ASM Traffic – Scenario Definition

Easy and intuitive scenario definition (UML-like)

Improved flexibility and usability

Reuse of configured scenarios in different projects by copy/paste

Independent definition of fellow scenarios

Flexible start point

Individual activity length

Individual activity transition

Unlimited number of fellows

Pre-defined scenarios for Euro NCAP

OpenScenario (OSC) core team

Start

Activity

Segment

Transition

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ASM Smart Traffic

ASM ego vehicle and fellows

Recognition of

Priority signs

Traffic lights

Speed limits

Stop signs

Collision avoidance with other fellows

Use-cases

Random traffic for robustness tests of ADAS/AD

RDE with realistic traffic simulation

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Under

Development

Live Demo – Building up Smart Traffic

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Traffic Flow Simulation

Features

Simulation of realistic traffic flow (microscopic simulation i.e. movement of single vehicles)

Evaluation of infrastructure changes

Remote control via API possible

SUMO - Simulation of Urban Mobility

Free of charge and Open-Source

Developed by DLR (German Aerospace Center)

Support of V2X Communication (e.g. Veins)

OpenStreetMaps as import format

PTV – Vissim

Commercial tool

Developed by German PTV Group

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Source: http://www.citi-lab.fr/

©PTV

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ASM Traffic – Co-Simulation with SUMO & Vissim

ASM Fellows

ASM Sensors

Communi-cation

Interface

𝑛𝑉𝑖𝑠𝑠𝑖𝑚 ≫ 𝑛𝐴𝑆𝑀

Traffic flow simulationASM

𝑉𝑒ℎ𝑚

𝑉𝑒ℎ3

𝑉𝑒ℎ2

𝑉𝑒ℎ1

ASM Ego

𝑉𝑒ℎ𝑛

𝑉𝑒ℎ𝑚+1

𝑉𝑒ℎ𝑛−1

©PTV

Under

Development

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Position Ego

Position Fellows

EgoFellows

Δ𝑡 = 0.001𝑠 Δ𝑡 = 0.1𝑠

Extrapolation

ASM Traffic – Co-Simulation with Vissim

MotionDesk Sensors – GPU Based

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MotionDesk – Camera Sensor(RLS 2016-B)

Simulation of lens distortion effects:

Radial distortion

Chromatic aberration

Vignetting

Calibration from real lens-camera combinations

Adobe camera lens profile

Adobe lens distortion model

Configuration at MotionDesk

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NEW

Live Demo – MotionDesk Sensors

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Thank you for listening!

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[email protected]

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Important Information!

© 2017, dSPACE GmbHAll rights reserved. Written permission is required for reproduction of all or parts of this publication. The source must be stated in any such reproduction.This publication and the contents hereof are subject to change without notice. Benchmark results are based on a specific application. Results are generally not transferable to other applications.Brand names or product names are trademarks or registered trademarks of their respective companies or organizations.