%PDF-1.4 % 4 0 obj (I Introduction) endobj 5 0 obj << /D (section.2) /S /GoTo >> endobj 8 0 obj (II Related Work) endobj 9 0 obj << /D (section.3) /S /GoTo >> endobj 12 0 obj (III Improving Per-object Depth Estimation via Multi-level Fusion) endobj 13 0 obj << /D (subsection.3.1) /S /GoTo >> endobj 16 0 obj (III-A Pseudo-LiDAR and RGB \(PR\) Fusion) endobj 17 0 obj << /D (subsection.3.2) /S /GoTo >> endobj 20 0 obj (III-B Tracklet Fusion with Ego-motion Compensation) endobj 21 0 obj << /D (subsection.3.3) /S /GoTo >> endobj 24 0 obj (III-C Multi-level PRT-Fusion) endobj 25 0 obj << /D (subsection.3.4) /S /GoTo >> endobj 28 0 obj (III-D Implementation Details) endobj 29 0 obj << /D (section.4) /S /GoTo >> endobj 32 0 obj (IV Experiments) endobj 33 0 obj << /D (subsection.4.1) /S /GoTo >> endobj 36 0 obj (IV-A Benchmarking Per-object Depth Estimation) endobj 37 0 obj << /D (subsection.4.2) /S /GoTo >> endobj 40 0 obj (IV-B Ablation Study for Per-object Depth Estimation) endobj 41 0 obj << /D (subsection.4.3) /S /GoTo >> endobj 44 0 obj (IV-C Improving Monocular 3D Detection and Tracking with Enhanced Per-object Depth) endobj 45 0 obj << /D (section.5) /S /GoTo >> endobj 48 0 obj (V Conclusion) endobj 49 0 obj << /D (section.6) /S /GoTo >> endobj 52 0 obj (VI Acknowledgement) endobj 53 0 obj << /D (section*.1) /S /GoTo >> endobj 56 0 obj (References) endobj 57 0 obj << /D [ 58 0 R /Fit ] /S /GoTo >> endobj 64 0 obj << /Filter /FlateDecode /Length 4988 >> stream xڥ;ٖ۸ E: ^fYIsu@Il3ק U"qO||NKP(8XW_Vd%HtV+ UD"~]f`isUIҶ;U~CwK]mY# wdƖ1~$BGzH!:/TVHZӖjoBH M"1qب6"-cUʓ}Ȭ"Dt"R*D\3!w]?FJ1RR2:?Yf:K%VĀ_|EȯE2w'ץl8kVVKb Q2Ps Qq[\2MO6ʬ `yw:VBjXOFBE!_YKG~hɋ« w- X~cc41(z2Q^Gq [Vu7ReћEKdЁ] ]m:=V܋uy첂²RTׅb-lBP/IwAO7eB%ϔ:l\]pe w3o6֖֬J %y0.슀e Zi,6BڂP²5-Җe@Rf+m46v6فЁ͜{ DZSPcm QBdWl5`QI 'syd)rbHNc}VrxRu[a6m+u8 uR{۠Dƭߴk5CMD#b8+Axx#JqU{ FXcy/h=Pk@ h+2FijCKc Rz<+ ,9tƸ}V9-<rp>8̏nXfNe[5TOTi3@i ua@&rp 9drPqԫEF4^?Q/VŔ6@}{Wu%"S WЂ^$mqC8{o{r@5 (B=0|C^RͷD#*H$r}Su`s<./`IvԻxe/[V?} eIcdݡP RiA=f_:M'4J8s|$Z?7xhg`E6D :tVHp$KX (p ^jFcvL0NPIf|m-LoU(f Т1 8٪XK_r'ޤ-z/?Gc!tX@/f4Ro4fHqPG,iPmKu22gʠ ܵleC0hF}+ 3jmA{SRspwWnyΚ;<>es}ZxPhm1PK8;,K~5댰q_ Q(V@tyFگG0\`Dy+X1{{[R#ۆx긊6Ɓ |:;{Lɶ%ҢPh0ILӼ:-õAQJ `K'Nua-]zXh $@C"YH8+y*J#""qs4Tb).DNklljz6 ɒ6Ikw+{ }C8PP^Oio/} b4:0;b;kCx]x $3)Qy ٧g̤4~i0qt$L%հl첌֥K/6/-"IG~\L9ssCyy]<0/0!,}="""Vw]#Xt-Rˠ_N )"FHV>!h 1j#F#J1وm:2B]A&s1X}6-J(,<<(|olX@ޔfAzSFv(ȩ, tS8ƓLAyq`bXM p >:(DL/Bù3 e^L,aчY+<=F|>rCҷLߒwf2 ON:+hs#2"yQ}ĐNVDX`%ƺơ93imm#vvc!c%yIBC,±_zU ZEW%@/tX:k*A c\RYIy+(ug8~&WvCMhN('~YչϏ#aL@сCXx]jؽ`pwe+?!be6̉h0Be.{eE^Ƹt{2!@2mAyBu-ˊrOq ?*@U˞AÄqguɇ*>O*ݷZQa`NG;(DmK5]yjHxϛI#Wjh$t)]_}?bvFk0c u3~8Kj"8dyK.B^,3YټFaq6dJ܁Lkd ];[fDH)6tWt>c7 e !92^RqP!;ql'Ht>#^`fLm5 m@wM>?Q|Bs~ }3]`a3Dh<ߡkZ5m@[Ǜ%1 BИ/lthT 1rp Zjl`r_L+nGNak#(ϜD S%:XbLIby:'\Üduy6<o{V| , y(GsUO`b^]&+EިV3h\