{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T02:09:31Z","timestamp":1775786971663,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/iscas51556.2021.9401154","type":"proceedings-article","created":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T21:33:36Z","timestamp":1619559216000},"page":"1-5","source":"Crossref","is-referenced-by-count":9,"title":["Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles"],"prefix":"10.1109","author":[{"given":"Miguel","family":"de Prado","sequence":"first","affiliation":[]},{"given":"Manuele","family":"Rusci","sequence":"additional","affiliation":[]},{"given":"Romain","family":"Donze","sequence":"additional","affiliation":[]},{"given":"Alessandro","family":"Capotondi","sequence":"additional","affiliation":[]},{"given":"Serge","family":"Monnerat","sequence":"additional","affiliation":[]},{"given":"Luca","family":"Benini","sequence":"additional","affiliation":[]},{"given":"Nuria","family":"Pazos","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","article-title":"STMicroelectronics STM32L476xx","year":"2019"},{"key":"ref10","article-title":"Explaining how a deep neural network trained with end-to-end learning steers a car","author":"bojarski","year":"0"},{"key":"ref11","article-title":"Auto Pilot","year":"2019"},{"key":"ref12","article-title":"DeepRacer","year":"0"},{"key":"ref13","article-title":"F1\/10: An open-source autonomous cyber-physical platform","author":"o\u2019kelly","year":"0"},{"key":"ref14","article-title":"DonkeyCar","year":"0"},{"key":"ref15","article-title":"Introduction to Imitation Learning","year":"2019"},{"key":"ref16","article-title":"ICML 2018: Imitation Learning Tutorial","year":"2018"},{"key":"ref17","article-title":"Alvinn: An autonomous land vehicle in a neural network","author":"pomerleau","year":"1989","journal-title":"Advances in neural information processing systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/s19092064"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.056"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CODESISSS.2018.8525915"},{"key":"ref4","article-title":"Tinyml","year":"2020"},{"key":"ref27","article-title":"Continual learning with deep architectures","author":"lomonaco","year":"2019","journal-title":"Ph D Dissertation"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MECO.2018.8405955"},{"key":"ref6","article-title":"Nxpcup","year":"2020"},{"key":"ref29","article-title":"Memory-driven mixed low precision quantization for enabling deep network inference on microcontrollers","author":"rusci","year":"2019"},{"key":"ref5","article-title":"Benchmarking tinyml systems: Challenges and direction","author":"banbury","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ASAP.2018.8445101"},{"key":"ref7","article-title":"NXP K64F","year":"2019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2877890"},{"key":"ref9","article-title":"A survey of deep learning applications to autonomous vehicle control","author":"kuutti","year":"2019"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2917066"},{"key":"ref20","article-title":"X-CUBE-AI","year":"0"},{"key":"ref22","article-title":"Hello edge: Keyword spotting on microcontrollers","author":"zhang","year":"2017"},{"key":"ref21","article-title":"Cmsis-nn: Efficient neural network kernels for arm cortex-m cpus","author":"lai","year":"2018"},{"key":"ref24","article-title":"Pulp-nn: Accelerating quantized neural networks on parallel ultra-low-power risc-v processors","author":"garofalo","year":"2019"},{"key":"ref23","article-title":"Visual wake words dataset","author":"chowdhery","year":"2019"},{"key":"ref26","article-title":"Continual Learning","year":"2018"},{"key":"ref25","first-page":"5","article-title":"Lenet-5, convolutional neural networks","volume":"20","author":"lecun","year":"2015"}],"event":{"name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","location":"Daegu, Korea","start":{"date-parts":[[2021,5,22]]},"end":{"date-parts":[[2021,5,28]]}},"container-title":["2021 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9401028\/9401051\/09401154.pdf?arnumber=9401154","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:44:01Z","timestamp":1652197441000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9401154\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/iscas51556.2021.9401154","relation":{},"subject":[],"published":{"date-parts":[[2021,5]]}}}