Pedestrian acoustic warning system for electric vehicle · 2018. 12. 19. · toward pedestrian at...

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Pedestrian acoustic warning system for electric vehicle PBNv2 – H20202 Marie Curie ETN First Public Technical Course; 28th – 29th November 2018 INSA - Lyon PUBLIC INTERNAL CONFIDENTIAL SECRET

Transcript of Pedestrian acoustic warning system for electric vehicle · 2018. 12. 19. · toward pedestrian at...

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Pedestrian acoustic warning system for electric vehicle

PBNv2 – H20202 Marie Curie ETNFirst Public Technical Course; 28th – 29th November 2018

INSA - Lyon

PUBLIC INTERNAL CONFIDENTIAL SECRET

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Quiet vehicle audible alert systems: current situat ion

The recent rapid growth of very quiet Electric Vehicles and Hybrids has prompted new concerns about pedestrian safety.

The solution proposed by vehicle manufacturers and legislators is to add synthetic vehicle sounds to EV’s (EC/EV 540/2014)

The objective is simple to make quiet EV’s detectable by pedestrians through the use audible cues.

But is this solution really that simple to implemen t, to everyone’s satisfaction?

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• Some fundamentals generally accepted:

• Pedestrians and Vulnerable Road Users need to be aware of the presence of any vehicle which could pose a collision risk, in time to take avoidance action.

• The impact on environmental noise pollution should be minimised

• The synthetic alert sounds added to cars should not result in customer rejection of EV’s and HEV’s

Quiet vehicle audible alert systems: restrictions

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Country

Spain

CategoryLeaders of Work PackagesConsortium Member Organisations

-

* WP4

-

* WP1

* WP6

* WP5

* WP2

WP3

-

* WP11

* WP7, * WP8, WP9 & WP10IDIADA Automotive Technology IDIADA

R&DCentre

LMS International NV LMS Belgium

ÖSTERREICHISCHES FORSCHUNGS- UND PRÜFZENTRUM ARSENAL

AIT Austria

TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO Netherlands

Institut National des Sciences Appliquées INSA-Lyon FranceUniversities

Technische Universitaet Darmstadt TUD Germany

NISSAN Motor Manufacturing (UK) Nissan United Kingdom

OEM’sRenault Renault France

PSA PSA France

Continental Continental France Tier-1’s

European Blind Union EBU France End Users

Country

Spain

CategoryLeaders of Work PackagesConsortium Member Organisations

-

* WP4

-

* WP1

* WP6

* WP5

* WP2

WP3

-

* WP11

* WP7, * WP8, WP9 & WP10IDIADA Automotive Technology IDIADA

R&DCentre

LMS International NV LMS Belgium

ÖSTERREICHISCHES FORSCHUNGS- UND PRÜFZENTRUM ARSENAL

AIT Austria

TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO Netherlands

Institut National des Sciences Appliquées INSA-Lyon FranceUniversities

Technische Universitaet Darmstadt TUD Germany

NISSAN Motor Manufacturing (UK) Nissan United Kingdom

OEM’sRenault Renault France

PSA PSA France

Continental Continental France Tier-1’s

European Blind Union EBU France End Users

eVADER was a 3 year project, which kicked-off in October 2011 and was finished in

December 2014 (Electric Vehicle Alert for Detection and Emergency Response)

The consortium members were:

eVADER - Consortium Members

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eVADER proposed an ‘smart’ audible alert system, to find an optimum balance between pedestrian safety in the vicinity of EV’s and minimising environmental noise pollution, but also securing customer acceptance.

eVADER technical direction - Concept

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Default condition broad beam at lower sound level

Alert sound directed toward pedestrian at increased sound level, dependant on risk estimation

The pedestrian alert sound was emitted by a Beamforming Loudspeaker Array (directed towards the detected VRU – Vulnerable Road User) The sound beam could optionally be rotated from one side of the vehicle to the other side within ~0.5s if required.

eVADER technical direction - Concept

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Pedestrian detection by EPS camera system

Tracing pedestrians paths for better risk estimations

eVADER incorporates an Environmental Perception System (EPS) based on existing ADAS [Advanced Driver Assistance Systems] able to detect any Vunerable Road User (VRU)The EPS will be coupled with a Location Based System (LBS ) which will give GPSposition, time of day and a database of hotspots, critical areas and speed limits, to support risk estimations when no VRU is detected.

eVADER technical direction - Pedestrian

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eVADER pedestrian risk estimation concept is divided into two main topics. • Risk based on location / time (LBS)• Risk based on pedestrian detection (EPS), risk estimator output = collision

probability and time to collision.

eVADER – System Overview

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Stereo CameraMFC310

FrontRadar

ARS351

Vehicle to CONTI

CANGateway

EberspacherFlexconMidget

CONTI CAN

CONTINENTAL

LBS (Squarell GPS)

Pedestrian detection & LBS system hardware

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Can Bus Router & Vsound DSP Unit

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Risk Estimator & Interaction Manager

F2016-ETNVH-1

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Stereo camera - Installation

Special windscreen used with masking profile to match Pedestrian Detection Camera

T1018_full.avi T1032_full.aviT1033_full.avi T1034_full.avi

Windscreen maskingprofile

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Mic 1 Mic 2

Mic 3 Mic 4

Objective

eVADER system monitors streetambient sound levels to allow forcompensation in the alert sound levelto help audibility.

Selected microphone

Knowles Sisonic microphone (MEMS):

Low cost

Robust, tolerant of environmentalconditions and vibration.

Microphone array design

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Three main aspects of vehicle sound were studied by eVADER

1: Detectability and the influence of three timbre parameters: - Frequency content - Frequency modulation- Temporal modulation

2: Ability to judge vehicle speed / distance from a vehicle sounds only3: Annoyance of warning sounds

eVADER explored the balance between good detectability of EV sounds, minimum environmental noise annoyance and customer acceptance.

eVADER psychoacoustics

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Experiment 111 stimuli (Diesel car, EV, EV+Alert sound).8 repetitions for each stimuli (left-right or vice-versa).Background noise (69 dBA).Headphone presentation (Stax Lambda Pro).

Task :Detect the car as soon as possible, identify the di rection of the car (left/right).112 participants (36 visually impaired, 86 sighted).

eVADER psychoacoustics – 1. Detectability

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"Waiting-to-cross" scenario passing car (20 km/h)

- 30 m 30 m

Recording of a diesel and an electric vehicle Synthesis of the 9 alert sounds Binaural simulation of a moving sound sourceMixing with EV recording

eVADER psychoacoustics – 1. Detectability

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88 trials for each participant : averaged response time was computed

0

2

4

6

8

10

12

14

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30

Distance at detection

Num

ber

of p

artic

ipan

ts

Key Finding:No difference between Visually-Impaired and Sighted subjects.

eVADER psychoacoustics – 1. Detectability

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Distance for detection

Key Finding:Some alert sounds were as easy to detect as the diesel car

eVADER psychoacoustics – 1. Detectability

F2016-ETNVH-1

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30

25

20

15

10

5

0

111 122 133 212 223 231 313 321 332 EV Dieselstimulus

dist

ance

to th

e pe

dest

rian

(m)

Key finding: No relationship to sound level

64

66

68

70

72

74

76

78

111 122 133 212 223 231 313 321 332 Electric Diesel

stimulus

dB(A

)Maximum ofA-weighted level

Detectability

eVADER psychoacoustics – 1. Detectability

Low detectability

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-6

-4

-2

0

2

4

6

0 1 2 3 4

level

effe

ct (m

) F1F2F3

Factor DescriptionLevel

L1

Level

L2

Level

L3

F1No. of

frequencycomponents

3 6 9

F2Frequency

mod.None Sine

Saw

tooth

F3Temporal

mod.None Sine Chaotic

Key Finding: Timbre parameters which aid detection• small frequency range• Temporal modulation

Influence of timbre parameters:

eVADER psychoacoustics – 1. Detectability

F2016-ETNVH-1

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Procedure for experiment 2

Same "waiting-to-cross" scenario

Task : Indicate when you think it is no longer safe to cross the road while this car isapproaching.

20 Stimuli :9 alert sounds2 speeds (20 km/h, 30 km/h).Diesel car included.Background noise (64 dBA).4 repetitions.

116 participants (39 Visually Impaired, 77 Sighted).

- 30 m 30 m

Key Finding :- Visually Impaired participants were on average 0.5 sec quicker to respond to approaching car sounds

eVADER psychoacoustics – 2. Speed / distance

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-400

-300

-200

-100

0

100

200

300

400

low mid high

effe

ct (m

s)

pitch

mod. freq.

speed

Key Findings:- Speed effect as expected: People feel unsafe sooner for cars at

30 km/h compared to 20 km/h.- No effect of modulation frequency.- Surprising effect of pitch: higher pitch tended towards later

judgement of unsafe to cross.

Factors effect : Pitch, Modulation freq. & Vehicle speed

eVADER psychoacoustics – 2. Speed / distance

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All sounds were as used in previous experiments

Procedure :Sounds corresponded to a car passing in front of the listener at 20 km/h – with nobackground noise.Each sound presented twice, participants could listen to each sound as often asthey wanted before moving on.

Task : Listen to the sound then move the slider to indicate how unpleasant thesound was(scale: not at all unpleasant - to - extremely unpleasant)

Key Findings : - The EV was judged the least unpleasant sound. - Four of the synthetic sounds judged as equally unpleasant as the diesel – all

others were judged more unpleasant

eVADER psychoacoustics – 3. Annoyance

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Factors effect : Frequency modulation, Number of harmonics & Temporal modulation

Key Findings :- Temporal fluctuation increases unpleasantness- Increasing number of harmonics tends to lower unpleasantness

eVADER psychoacoustics – 3. Annoyance

MoreAnnoyance

LessAnnoyance

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Distance-to-detection chart, highlighting the synthetic sounds with lowest annoyance.

Sound 313 – a good compromise between detectability and annoyance which is also 6dBA quieter than the diesel.

eVADER psychoacoustics – 3. Annoyance

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System requirements:- Minimise number of acoustic sources (6)- Frequency range 300Hz to 1.2kHz- SPL up to 90dBA at 1 metre- Directivity only required in horizontal plane- Beam steering nominally ±60 degrees- Angular tracking speed ~300 deg/sec- Non uniform loudspeaker array

A range of potential beamforming algorithms have been evaluated. The ‘sound power minimization’ algorithm was chosen for eVADER as it provides narrow beams and allows flexible real-time implementation.

eVADER Beamforming loudspeaker array

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Simulation result, 30 degree orientated alert signal spatial distribution at 600Hz

Simulation model forLoudspeaker array

Example: Beamforming Directivity performanceas a function of frequency for a 30 degreeorientated alert signal at distance of 20m fromthe bumper loudspeaker array.

50mm Speakers

Evaluation of beamforming system performance using FEM & BEM modelling techniques. Influence of ambient temperature, humidity, ground reflections and beam scattering from parked vehicles have been considered.

eVADER Beamforming loudspeaker array

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Bumper & loudspeaker test system prepared by Technical University of Darmstadt –using CAD data supplied by Nissan

eVADER Beamforming loudspeaker array

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The eVADER pedestrian alert system was implemented into a Nissan LEAF vehicle for evaluation and testing.

Systems for integration:• External microphones• EPS system, camera & radar• LBS system, GPS• Risk Estimator computer• Beamforming loudspeaker array• Beamforming controller and internal

alert sound generator• Communications on dedicated

eVADER CAN bus

eVADER System integration into vehicle

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LEAF

Mic 1 Mic 2

Mic 3 Mic 4

AUX in

Speaker Array

Speaker Amps

EVADER CAN BUS HS 500KPCAN ProRouter

MicPre-Amps

V-CAN1

Riskestimation

Ped.filtering

Driverbehavior

Interactionmanager

LBS algorithms

Environmentalnoise level

Environmentalnoise level

CAN bus data

Processing

LMS Stereospeaker TFs

Exterior sounddatabase

Interior sounddatabase

BKSVSound algorithm

Exterior

Interior

TNOspeaker

beam-forminglibrary

1-6

LineOut

7-8

NissanDSP V Sound

TNO Craneboard

V SoundRP feedback

Stereo CameraMFC310

FrontRadar

ARS351

Vehicle to CONTI

CANGateway

EberspacherFlexconMidget

CONTI CAN

CONTINENTAL

LBS (Squarell GPS)

eVADER System integration into vehicle

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Assessment : Warning sound detectability

Movement of jury member

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Pointof pedestrian

detection

Measurement point

SPL (dB(A))

Loudness(Phone)

Loudness(Sone)

1 1 62.0 70.1 8.12 2 48.5 59,3 3.83 3 58.5 67,0 6.54 4 46.9 57,6 3.45 5 57.2 65,9 6.06 6 45.3 57,1 3.36 4 33.2 44,4 1.4

Assessment : Detectability

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Assessment : Beam forming & detectability

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Assessment: Polar plots of beam former

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Vehicle turning (Near – Pos 1)Vehicle turning (Away) – Pos. 1)

Assessment : In a real urban environment

Vehicle turning (Near) – Pos 2

Vehicle turning (Near) – Pos 2

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Assessment : In a real urban environment

Walking to backing vehicle (Near) Walking to backing vehicle (Away)

Waiting to cross (Near) Waiting to cross (Away)

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Assessment : Pass by test configuration

10 dB(A) difference between risk

and non-risk area

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Questions about eVADER’s performance Global % VIP % Non -VIP %Yes No Yes No Yes No

1)Do you feel that eVADER sound exceeds that of a typ ical conventional internal combustion vehicle in similar operating conditions?

0 100 0 100 0 100

2)Do you associate the eVADER sound with a vehicle? 54 46 60 40 50 503) Does eVADER inform you of the vehicle location in the street?

86 14 73 27 95 5

4) Does eVADER’s sound inform pedestrians of the veh icle motion (approaching, stationary, etc.)

75 25 67 33 82 18

5) What do you think about eVADER’s sound characteristics? ( 5 = Very good / 1 = Poor ) 3.7 3.3 4.0

6) Do you find eVADER’s sound is acceptable for its purpose?

84 16 67 33 95 5

7) Do you find eVADER’s sound detectable in ‘at risk ’ traffic situations with pedestrians?

70 30 40 60 91 9

Assessment : In a real urban environment

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The main objective of the eVADER project was to develop a next generation alert system solution which will resolve as much as possible the conflicting requirements of minimizing the impact of EV sounds on traffic noise pollution levels, whilst providing effective audible cues to alert pedestrians and other vulnerable road users of the presence of a nominally silent EV /HEV.

The contribution of eVADER technology to the potential reduction of accidents caused by HEV /EV involving pedestrians has been assessed using basic considerations regarding the relative percentage of EV and the level of implementation of eVADER technology to these EV.

The results show that the contribution of eVADER technology to the reduction of accidents involving HEV/EV and vulnerable road users is potentially high, with negligible impact on urban noise pollution.

Conclusions

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This work has been part funded by the European Commission under the 7th Framework Programme as a collaborative project FP/-SST-2011-RTD-1 with Grant Agreement Number 285095.

Thanks are due to all the consortium members for their contributions in order to materialisethe ideas presented in this work on a real vehicle demonstrator: INSA-Lyon, TNO, LMS, AIT, Continental, Nissan NTCE, Renault, PSA, TUD, The European Blind Union, plus the support of B&K.

eVADER - Acknowledgements

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For further information:

Email: [email protected] IDIADAHeadquarters & Main Technical CentreT +34 977 166 000 (Barcelona)e-mail: [email protected]

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Thank you !Questions ?