Slide 1

Slide 1 text

*1, *1, *1, *2, *1 *1 *2

Slide 2

Slide 2 text

2

Slide 3

Slide 3 text

H> n ITS (Intelligent Transport System) • 1-;?% .@6$(&)B:, K)*I)+ n A • 6$

Slide 4

Slide 4 text

n %* • #-+ ( • "$1)%* !./' 0%,& ं྆૸ߦԻ ૸ߦํ޲ ଎౓ ं྆छผ ૸ߦंઢ 4

Slide 5

Slide 5 text

.; n '$8?7)SAVeD [Ishida+18] • OR0+19QF83% n !*2 [Ishida+19] • FG77% n ICB>6, 8?

Slide 6

Slide 6 text

*-BE n JF%6>G:H) • KL3=YC9M/P [Aljaafreh+10] [Changjun+09] [Munich+04] • !#"D? [Yang+07] ⇒T36>JS 8U n NJF%6>G:H) • ETC ⇒ &R4VO • % !$;W7I [Hongliang+04] • 6>';W7I [Avery+04] ⇒X@Z[(Q,A+1<5<0.2 6 [Aljaafreh+10] “An evaluation of feature extraction methods for vehicle classification based on acoustic signals”, IEEE ISNSC [Changjun+09] “The research of vehicle classification using SVM and KNN in a ramp”, IFCSTA [Munich+04] “Bayesian subspace methods for acoustic signature recognition of vehicles”, EUSIPCO [Yang+07] “Vehicle identification using wireless sensor networks”, IEEE SoutheastCon [Hongliang+04] “A hybrid license plate extraction method baed on edge statistics and morphology”, ICPR [Avery+04] “Length-based vehicle classification using images from uncalibrated video cameras”, IEEE ITSC

Slide 7

Slide 7 text

7

Slide 8

Slide 8 text

! n % + ", • # % '* ⇒ % !+ -)( & $ 8 Vehicle Sound t t t t Left Right Vehicle sound arrives at slight different time depending on vehicle location Compensate the time difference Emphasized Sound ∆t ∆t

Slide 9

Slide 9 text

( 9 1. $& $& 2. • '"!Δ" 3. Δ" $& 4. #% # % ڧௐ߹੒ ಛ௃ྔ நग़ ं྆ݕग़ ं྆छผ ਪఆ Ϧϯά όοϑΝ ग़ྗ ӈ ࠨ ड৴࣌ؒࠩ t AAAB8XicZVBNS8NAEJ3Urxq/qh69LJZCTyURQY8FPXisYD+gDWWz3bZLN5uwOxFK6J/wJnoQr/4dL/4bt20Q2z4YeLw3w8y8MJHCoOf9OIWt7Z3dveK+e3B4dHxSOj1rmTjVjDdZLGPdCanhUijeRIGSdxLNaRRK3g4nd3O//cy1EbF6wmnCg4iOlBgKRtFKnd49l0gJ9ktlr+YtQDaJn5My5Gj0S9+9QczSiCtkkhrT9b0Eg4xqFEzymVvppYYnlE3oiHctVTTiJsgWB89IxSoDMoy1LYVkobr/JjIaGTONQtsZURybdW8u/nmrq3B4G2RCJSlyxZabhqkkGJP5+2QgNGcop5ZQpoW9lrAx1ZShDcm1MfjrT2+S1lXNt/zxulyv5oEU4QIuoQo+3EAdHqABTWAg4QXe4N0xzqvz4XwuWwtOPnMOK3C+fgFwao/g AAAB8XicZVBNS8NAEJ3Urxq/qh69LJZCTyURQY8FPXisYD+gDWWz3bZLN5uwOxFK6J/wJnoQr/4dL/4bt20Q2z4YeLw3w8y8MJHCoOf9OIWt7Z3dveK+e3B4dHxSOj1rmTjVjDdZLGPdCanhUijeRIGSdxLNaRRK3g4nd3O//cy1EbF6wmnCg4iOlBgKRtFKnd49l0gJ9ktlr+YtQDaJn5My5Gj0S9+9QczSiCtkkhrT9b0Eg4xqFEzymVvppYYnlE3oiHctVTTiJsgWB89IxSoDMoy1LYVkobr/JjIaGTONQtsZURybdW8u/nmrq3B4G2RCJSlyxZabhqkkGJP5+2QgNGcop5ZQpoW9lrAx1ZShDcm1MfjrT2+S1lXNt/zxulyv5oEU4QIuoQo+3EAdHqABTWAg4QXe4N0xzqvz4XwuWwtOPnMOK3C+fgFwao/g AAAB8XicZVBNS8NAEJ3Urxq/qh69LJZCTyURQY8FPXisYD+gDWWz3bZLN5uwOxFK6J/wJnoQr/4dL/4bt20Q2z4YeLw3w8y8MJHCoOf9OIWt7Z3dveK+e3B4dHxSOj1rmTjVjDdZLGPdCanhUijeRIGSdxLNaRRK3g4nd3O//cy1EbF6wmnCg4iOlBgKRtFKnd49l0gJ9ktlr+YtQDaJn5My5Gj0S9+9QczSiCtkkhrT9b0Eg4xqFEzymVvppYYnlE3oiHctVTTiJsgWB89IxSoDMoy1LYVkobr/JjIaGTONQtsZURybdW8u/nmrq3B4G2RCJSlyxZabhqkkGJP5+2QgNGcop5ZQpoW9lrAx1ZShDcm1MfjrT2+S1lXNt/zxulyv5oEU4QIuoQo+3EAdHqABTWAg4QXe4N0xzqvz4XwuWwtOPnMOK3C+fgFwao/g AAAB8XicZVBNS8NAEJ3Urxq/qh69LJZCTyURQY8FPXisYD+gDWWz3bZLN5uwOxFK6J/wJnoQr/4dL/4bt20Q2z4YeLw3w8y8MJHCoOf9OIWt7Z3dveK+e3B4dHxSOj1rmTjVjDdZLGPdCanhUijeRIGSdxLNaRRK3g4nd3O//cy1EbF6wmnCg4iOlBgKRtFKnd49l0gJ9ktlr+YtQDaJn5My5Gj0S9+9QczSiCtkkhrT9b0Eg4xqFEzymVvppYYnlE3oiHctVTTiJsgWB89IxSoDMoy1LYVkobr/JjIaGTONQtsZURybdW8u/nmrq3B4G2RCJSlyxZabhqkkGJP5+2QgNGcop5ZQpoW9lrAx1ZShDcm1MfjrT2+S1lXNt/zxulyv5oEU4QIuoQo+3EAdHqABTWAg4QXe4N0xzqvz4XwuWwtOPnMOK3C+fgFwao/g sR(t) (null) (null) (null) (null) sL(t) (null) (null) (null) (null) semph(t) = sR(t) + sL(t + t) AAACGHicZZBNS8NAEIY3ftb6VfXoZbEIEbEkKuhFKOjBg4cqVgVTwmY7tYu7SdidCCX0V3jzn3gTPYhX8eK/cdMW8eOFhYd3ZpidN0qlMOh5n87Y+MTk1HRppjw7N7+wWFlavjBJpjk0eSITfRUxA1LE0ESBEq5SDUxFEi6j28OifnkH2ogkPsdeCi3FbmLREZyhtcLKlgkDxbCrVQ4q7fZd3KAH1IRnBWxaOHFxMzgCiYziRlipejVvIPof/BFUyUiNsPIRtBOeKYiRS2bMte+l2MqZRsEl9MvrQWYgZfyW3cC1xZgpMK18cFefrlunTTuJti9GOnDLPyZypozpqch2FjeYv7XC/K79XoWd/VYu4jRDiPlwUyeTFBNapETbQgNH2bPAuBb2t5R3mWYcbZZlG4P/9+j/cLFd83dq26e71bo7CqREVskacYlP9kidHJMGaRJO7skjeSYvzoPz5Lw6b8PWMWc0s0J+yXn/AuIXnYQ= ૸ߦԻऔಘ

Slide 10

Slide 10 text

:$;*/-4,# 10 n SAVeD+) [Ishida+18] • ! :$;=7%&6> " >2 • RANSAC) S8" • ".05%

Slide 11

Slide 11 text

11 1. '" 2. %'" !* +$#Δ" (), 3. &'" t Left Right t f f Prepare for windowed data f Shift in time and add to right- channel data FFT FFT

Slide 12

Slide 12 text

n 67% SVM • 4 ,#0 n ,:2 • 10kHz&67%$; • 67%$.!1"'9LPF )-3*4 12 5+! ( 8 (SVM) )-/

Slide 13

Slide 13 text

13

Slide 14

Slide 14 text

<*75 (1) n > =$ %6 • ?.1(4&2(4 • AZDEN SGM-990 SONY HDR-MV1 • A! = 50cm • %6 @; # = 3m or 6m • 20@48kHz, 16bit n +9"1 #) n 100,8'-100! • 3(2:/ 14 !"#$%&'%()* +,-.()/0%.1 0)#%$1)$

Slide 15

Slide 15 text

9.64 (2) 15 n +,2$1 :->708# n ,270(: 3 • =$,46/78/18/$1 n 5%);: 320ms n FFT : 4096' (≅85.3ms) • 25% n ,2$1": "#$%% = 2.0s • ,2$1< ! *"#$%% &9. ⇒3FFT ,2708#

Slide 16

Slide 16 text

16 ⇒ 4.71% • normal bike bus Estimated Type normal bike bus Actual Type 89.06 7.44 3.49 8.54 87.33 4.13 2.92 2.58 94.50 normal bike bus Estimated Type normal bike bus Actual Type 94.24 3.74 2.02 4.38 93.49 2.13 1.59 1.11 97.30 : 90.30% (): 95.01%

Slide 17

Slide 17 text

-6 17 n )35198 &7 • :)5.18%6.16%2.79% ⇒,*")32 /4 • 2' /4#0+ n )3512.% (.% 46 78 18 142 !$2.% 17 (36.96%) 43 (55.13%) 5 (27.78%) 65 (45.77%)

Slide 18

Slide 18 text

18

Slide 19

Slide 19 text

n ITSDK(.&.% • DK 6J BI n ')-"+!$ GDK(.&.% • Z=DLDKC08;A • Z=-.DKW 1TDK O Q W E[ DKRI S4 n X/V?#,.*'5@MUF8N • Y795.01%DKRI S4 • 239<6JDK>:PH 19

Slide 20

Slide 20 text

© 2019 Shigemi ISHIDA licensed under CC BY-NC 4.0