From fa007b5e83139b3b1a252e75d9bdd454443574a0 Mon Sep 17 00:00:00 2001 From: Ziheng Chen Date: Wed, 8 May 2024 15:16:20 -0400 Subject: [PATCH] updated projecs --- .DS_Store | Bin 10244 -> 10244 bytes .gitmodules | 3 ++ content/.DS_Store | Bin 6148 -> 8196 bytes content/projects/.DS_Store | Bin 0 -> 6148 bytes content/projects/odaf.md | 36 ++++++++++++++++++ content/projects/vocabuddy.md | 17 --------- content/projects/vocabuddy/.DS_Store | Bin 0 -> 6148 bytes content/projects/vocabuddy/index.md | 38 +++++++++++++++++++ content/projects/vocabuddy/logged_in.mp4 | Bin 0 -> 7026410 bytes content/projects/vocabuddy/not_logged_in.mp4 | Bin 0 -> 7744906 bytes hugo.toml | 7 +--- static/images/projects/ODAF_hazy_150.png | Bin 0 -> 125211 bytes static/images/projects/ODAF_orig.png | Bin 0 -> 122229 bytes static/images/projects/ODAF_rainy_250.png | Bin 0 -> 140661 bytes static/images/projects/ODAF_shady_0.5.png | Bin 0 -> 114838 bytes themes/hugo-video | 1 + 16 files changed, 79 insertions(+), 23 deletions(-) create mode 100644 content/projects/.DS_Store create mode 100644 content/projects/odaf.md delete mode 100644 content/projects/vocabuddy.md create mode 100644 content/projects/vocabuddy/.DS_Store create mode 100644 content/projects/vocabuddy/index.md create mode 100644 content/projects/vocabuddy/logged_in.mp4 create mode 100644 content/projects/vocabuddy/not_logged_in.mp4 create mode 100644 static/images/projects/ODAF_hazy_150.png create mode 100644 static/images/projects/ODAF_orig.png create mode 100644 static/images/projects/ODAF_rainy_250.png create mode 100644 static/images/projects/ODAF_shady_0.5.png create mode 160000 themes/hugo-video diff --git a/.DS_Store b/.DS_Store index 488de0c51003f4d614d4199a761dd066b5d2a6a6..02bbd21760f12b50430102fbfc7720134f049061 100644 GIT binary patch delta 33 ncmZn(XbITBD=cDUYN(@NVrEgRqfl*WWB_Cvn{8GUek=k2mb?hL delta 16 XcmZn(XbITBD?FJ|#B+0)@H!CyFUkc- diff --git a/.gitmodules b/.gitmodules index ce3490a..326058f 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,3 +1,6 @@ [submodule "themes/hugo-coder"] path = themes/hugo-coder url = https://github.com/luizdepra/hugo-coder.git +[submodule "themes/hugo-video"] + path = themes/hugo-video + url = https://github.com/martignoni/hugo-video.git diff --git a/content/.DS_Store b/content/.DS_Store index 5da86d573244e6e31d984fae98c240dbb71f5c67..687cde1c206f5cef7da8f0c1080b43b4c7ededd0 100644 GIT binary patch literal 8196 zcmeHMTWl0n7(U;$z>FPWS}7D{*_8z((AsUeSSaH5!llv*vMt?~V%^Ko4oqk2&g_;; zswGC_E%9#R6H(DeqDCXeK+q=>B}UVbNFp)%Ains-3mVb?%$WsB%Y()k&^gID|NQ?s z|2gyj^L^*^Y#C!{&S&cwt744FRJqj3sF|YheqJXP$+wh}1o<2n4AGlADIoa9JATJYwz!A(@s<0iS)2(IBqO<7E(#+wCOYC8FHDt zCoyP`B;1sncbZeV-CXOmZ8KebPNjDl`bfVvr^UA1lws*P&%wy*G^DTFu(I|@vz@oH zj^~>Y9kL=T{aV%G!}V+Gsw1n{HjGwB4zH_^(etXcqoayk8Le&H*}vZ$vg~I>DDbxf zHuJjBo}DT#(HbBFC1u3=j}NmoDM7AKm}mF#uwoZI3} z)~{)KN8hQ_Tt-1}r5S0e3clL*VLpwsOV2qZqw$ysQ#n3sUUkjr(hAr3FYv?&eDMxjul^W8=E2`!%xMN`` zB*t9zDbAA2r;SJQhI>$p%CcA^v^c8B+J}8vddUtu%V*4bJ)zLzyJUGcx3}bUYK2)1 zt*j=8RHs7;@?SGnrzo1!xu0MlT-7yeWkt(&nW?mH`lj`bWZKqU5Rv=F%KKy`nX!k4 zC>TfBLM^SbtbP6vU${NxxZ8(y>&h#&Y?b9+XE2r1w~r7AiyrN=?0s0WbC*q7!?kl> zHXc|U3ia@*nzC6vOF=KFnqLu0gt}zy8}iW%t6&i9>01c&%h7n(Y44jv<156si3-7( zmt$p4QS~K1=t686YoLRzlkFwi9bwP0qwE8AlAU5_*jaX-U0}bkOYB$n8@r4WsHng~ zEI|!w5kno;qY)dh5!=v-F6=@Y`(a`THe8J2Q9OntcoNU!1-yut@jBkbTR4Vya2y}u z1U|-R_yS+z48Fp7{Dcem85i+8F5?fWTv{M4k(Nr!q*^H^)k~|S&C(WWhtwmbr2%PB zL?9I@w`XEx(m~QEZ6!pxVL>_R_|%jOZ`s;*zuJD&Q|{YYoMgApshm46vUEl5>V|up zu0T;Bw+Pm2N#Nmr0$V)Xd)T-hvmP7OMd2jh!Yg? 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In the field of machine learning, OOD cases occur when a learned model encounters input that is not included in training, potentially resulting in decision-making failures. These OOD situations can manifest in various ways, but this project focuses specifically on OOD scenarios involving varying weather conditions that affect adverse weather, which can significantly distort visual inputs and sensor data. As the industry shifts towards end-to-end vision-based autonomous driving that increasingly relies on visual data, robust handling of OOD input becomes crucial. Current learning-based approaches to OOD detection, like RIP, are limited in their robustness and interpretability. Thus, our project aims to implement a statistical analysis to first detect OOD and then enable the fallback mode that encourages safer driving behaviors. We introduce three weather modifications that inject up to 100% more accidents and 50% change in vehicle route among all weathers on the baseline autonomous driving agent. We also proposed two OOD detection methods that can detect OOD with an accuracy of up to 92%. Finally, we achieved up to 50% reduction in collision score and 46% in route-change proportion with modified weather by enabling the fallback mode to promote safer driving actions when OOD is detected using our method. + +### Example +![orig](/images/projects/ODAF_orig.png#center) +![rainy](/images/projects/ODAF_rainy_250.png#center) +![hazy](/images/projects/ODAF_hazy_150.png#center) +![shady](/images/projects/ODAF_shady_0.5.png#center) +Some example images that provide a clear comparison of the modifications, showing visual impact to various degrees. *Top to bottom: original, rain, haze, shade.* + +#### Contributions +1. Improved the safety of autonomous vehicles by designing and testing the out-of-distribution (OOD) detection method and fallback mode +2. Introduced three distinct weather modifications that resulted in up to 100% more accident cases, thoroughly testing the detection algorithm's accuracy and fallback mode +3. Integrated Python-based OOD detection algorithms using mahanalobis distance and autoencoders in `PyTorch` and fallback protocols into the CARLA simulation pipeline to ensure robust end-to-end vision-based driving +4. Designed and conducted experiments that revealed a 92% OOD detection accuracy, reducing collision scores by up to 50% and route-change proportions by 46% during adverse weather conditions \ No newline at end of file diff --git a/content/projects/vocabuddy.md b/content/projects/vocabuddy.md deleted file mode 100644 index 0d1e723..0000000 --- a/content/projects/vocabuddy.md +++ /dev/null @@ -1,17 +0,0 @@ -+++ -authors = ["Ziheng Chen"] -title = "Vocabulary Builder Application" -date = "2024-04-08" -tags = [ - "javascript", "typescript", "react", "mongodb", "ci-cd", "node.js", "rest-api", "backend", "frontend", "firebase", "prototyping", "web-development" -] - -aliases = ["vocabuddy"] -+++ - -Source (work in progress) - -- Developed a full-stack vocabulary builder app using `React.js` for the front-end and `Node.js` with `MySQL` for the back-end -- Designed a data schema using a UML diagram and deployed a `MySQL` instance on `GCP` for scalable storage solutions -- Optimized database queries and implemented indexing strategies, achieving a 60% reduction in operational costs -- Added user authentication and supported social networking features to promote daily engagement and progress tracking \ No newline at end of file diff --git a/content/projects/vocabuddy/.DS_Store b/content/projects/vocabuddy/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0}} +User can searh for words, check school detail, and check site statistics when nog logged in. + +{{< video src="logged_in">}} +User can study words and check their own progress when logged in. + +#### Contributions +- Developed a full-stack vocabulary builder app using `React.js` for the front-end and `Node.js` with `Express.js` and `MySQL` for the back-end +- Designed 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