{"id":110378,"date":"2018-09-05T10:39:55","date_gmt":"2018-09-05T10:39:55","guid":{"rendered":"https:\/\/\/une-voiture-autonome-pilotee-par-cartographie-sous-routiere\/"},"modified":"2018-09-05T10:39:55","modified_gmt":"2018-09-05T10:39:55","slug":"une-voiture-autonome-pilotee-par-cartographie-sous-routiere","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/une-voiture-autonome-pilotee-par-cartographie-sous-routiere\/","title":{"rendered":"Une voiture autonome pilot\u00e9e par cartographie sous-routi\u00e8re"},"content":{"rendered":"<figure class=\"image\" style=\"float:right\"><img decoding=\"async\" alt=\"\" height=\"300\" data-src=\"http:\/\/www.eenewseurope.com\/sites\/default\/files\/images\/01-picture-library\/eenews\/2018\/n-wavesense1.jpg\" width=\"300\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/300;\" \/><figcaption>A GPR-equipped vehicle scanning its way through<br \/>\nadverse weather conditions.<\/figcaption><\/figure>\n<p><span id=\"result_box\" lang=\"fr\"><span title=\"The pitch: current systems exclusively rely on above ground sensors like GPS, lidar and cameras to identify the exact position of the vehicle, but those can be confused and handicapped by poor visibility issues and adverse weather conditions such as snow, heavy rain, fog,\">Le pitch: les syst\u00e8mes actuels reposent exclusivement sur des capteurs a\u00e9riens comme le GPS, le lidar et les cam\u00e9ras pour identifier la position exacte du v\u00e9hicule, mais ils peuvent \u00eatre perturb\u00e9s par des probl\u00e8mes de visibilit\u00e9 et des conditions m\u00e9t\u00e9orologiques d\u00e9favorables telles que la neige, la pluie, le brouillard <\/span><span title=\"sand and dust.\">le sable et la poussi\u00e8re. <\/span><span title=\"But more reliable and stable data can be tapped beneath the road's surface where unique subsurface textures can be mapped and leveraged to accurately position a car on a track, regardless of the weather conditions and visibility above ground.\n\n\">Cependant, des donn\u00e9es plus fiables et plus stables peuvent \u00eatre exploit\u00e9es sous la surface de la route, o\u00f9 des textures souterraines uniques peuvent \u00eatre cartographi\u00e9es et exploit\u00e9es pour positionner avec pr\u00e9cision une voiture sur une piste, quelles que soient les conditions m\u00e9t\u00e9orologiques et la visibilit\u00e9.<\/span><\/span><\/p>\n<p><span id=\"result_box\" lang=\"fr\"><span title=\"But more reliable and stable data can be tapped beneath the road's surface where unique subsurface textures can be mapped and leveraged to accurately position a car on a track, regardless of the weather conditions and visibility above ground.\n\n\">Cependant, des donn\u00e9es plus fiables et plus stables peuvent \u00eatre exploit\u00e9es sous la surface de la route, o\u00f9 des textures souterraines uniques peuvent \u00eatre cartographi\u00e9es et exploit\u00e9es pour positionner avec pr\u00e9cision une voiture sur une piste, quelles que soient les conditions m\u00e9t\u00e9orologiques et la visibilit\u00e9 a\u00e9rienne.<\/span><br \/>\n<span title=\"The technology, initially developed by researchers at the MIT Lincoln Laboratory for military applications (accurately detecting and mapping mines and other sub-surface explosives) is described by WaveSense's CTO and co-founder Byron Stanley in a 2015 paper &quot;Localizing Ground Penetrating RADAR: A\">La technologie, initialement d\u00e9velopp\u00e9e par des chercheurs du Laboratoire Lincoln du MIT pour des applications militaires (d\u00e9tection et cartographie pr\u00e9cises des mines et autres explosifs sous-terrains), est d\u00e9crite par Byron Stanley, directeur technique et co-fondateur de WaveSense dans un article publi\u00e9 en 2015<\/span><span title=\"Step Toward Robust Autonomous Ground Vehicle Localization&quot; published in the Journal of Field robotics.\n\"> dans le Journal of Field robotics: <\/span><\/span> \u00ab\u00a0Localizing Ground Penetrating RADAR: A Step Toward Robust Autonomous Ground Vehicle Localization\u00a0\u00bb<br \/>\n<span lang=\"fr\"><span title=\"RF signals scattered by underground features are used\n\">Les signaux RF r\u00e9flechis par des structures souterraines sont utilis\u00e9s<\/span> pour <span title=\"to localize a vehicle using a prior map of the subsurface.\">localiser un v\u00e9hicule en utilisant la cartographie du sous-sol.<\/span><\/span> &nbsp;<\/p>\n<p>&nbsp;<\/p>\n<figure class=\"image\" style=\"float:left\"><img decoding=\"async\" alt=\"\" height=\"193\" data-src=\"http:\/\/www.eenewseurope.com\/sites\/default\/files\/images\/01-picture-library\/eenews\/2018\/n-wavesense2.jpg\" width=\"320\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/193;\" \/><figcaption>RF signals scattered by underground features are used<br \/>\nto localize a vehicle using a prior map of the subsurface.<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><span id=\"result_box\" lang=\"fr\"><span title=\"The localizing ground-penetrating radar (GPR) consists of a 152cm\u00d761cm plate array of 12 antennas (just under 8cm thick) sequentially pulsing RF patterns across the 100MHz to 400 MHz range.\">Le radar \u00e0 p\u00e9n\u00e9tration de sol (GPR) se compose d&rsquo;une plaque de 152 cm \u00d7 61 cm avec un r\u00e9seau de <\/span><\/span><span lang=\"fr\"><span title=\"The localizing ground-penetrating radar (GPR) consists of a 152cm\u00d761cm plate array of 12 antennas (just under 8cm thick) sequentially pulsing RF patterns across the 100MHz to 400 MHz range.\">12 antennes (d&rsquo;un peu moins de 8 cm d&rsquo;\u00e9paisseur) \u00e0 impulsions s\u00e9quentielles RF sur la plage de 100 MHz \u00e0 400 MHz. <\/span><span title=\"Just about the width of the car and positioned under the vehicle, behind the front wheels, the GPR operates at a sweep rate (across all its channels) of 126Hz, detecting underground features at a 2 to 3m depth to generate baseline maps on a first\">\u00c0 peu pr\u00e8s de la largeur de la voiture et plac\u00e9e sous le v\u00e9hicule, derri\u00e8re les roues avant, le GPR op\u00e8re \u00e0 une fr\u00e9quence de balayage (sur tous ses canaux) de 126Hz, d\u00e9tectant les caract\u00e9ristiques souterraines \u00e0 une profondeur de 2 \u00e0 3m pour g\u00e9n\u00e9rer des cartes de r\u00e9f\u00e9rence<\/span><span title=\"pass, tied with GPS tags.\"> li\u00e9es \u00e0 des balises GPS<\/span><span title=\"Just about the width of the car and positioned under the vehicle, behind the front wheels, the GPR operates at a sweep rate (across all its channels) of 126Hz, detecting underground features at a 2 to 3m depth to generate baseline maps on a first\"> lors d&rsquo;un premier <\/span><span title=\"pass, tied with GPS tags.\">passage .<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p><span id=\"result_box\" lang=\"fr\"><span>Les caract\u00e9ristiques souterraines, telles qu&rsquo;elles sont d\u00e9tect\u00e9es par les syst\u00e8mes GPR (mesure des r\u00e9flexions des impulsions \u00e0 partir de nombreux points de diffusion sous la surface), sont li\u00e9es \u00e0 l&rsquo;inhomog\u00e9n\u00e9it\u00e9 naturelle de la g\u00e9ologie souterraine, y compris tous les objets caract\u00e9ristiques se trouvant dans les sols qui sont identifiables.<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<figure class=\"image\" style=\"float:right\"><img decoding=\"async\" alt=\"\" height=\"216\" data-src=\"http:\/\/www.eenewseurope.com\/sites\/default\/files\/images\/01-picture-library\/eenews\/2018\/n-wavesense3.jpg\" width=\"300\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/216;\" \/><figcaption><\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p><span id=\"result_box\" lang=\"fr\"><span title=\"On a second pass, the on-board electronics uses particle swarm optimization techniques to best match newly scanned data with the existing subsurface map, searching across five degrees of freedom (including latitude, longitude, height, heading, and roll) for the vehicle pose\">Lors d&rsquo;un deuxi\u00e8me passage, l&rsquo;\u00e9lectronique embarqu\u00e9e utilise des techniques d&rsquo;optimisation d&rsquo;essaim de particules pour adapter au mieux les donn\u00e9es nouvellement num\u00e9ris\u00e9es \u00e0 la carte sous-jacente existante, en recherchant dans cinq degr\u00e9s de libert\u00e9 (latitude, longitude, hauteur, cap et roulis) pour d\u00e9terminer la position de la voiture <\/span><span title=\"that best fits the new sweep to prior data.\n\n\">qui correspond le mieux au nouveau balayage aux donn\u00e9es ant\u00e9rieures.<\/span><\/span><\/p>\n<p><span id=\"result_box\" lang=\"fr\"><span title=\"This optimization technique, Stanley reports in the paper, offers centimetre-level positioning accuracy even when the vehicle is only partially overlapping a previously scanned path (the paper reports an accuracy within 6cm for an overlap of only 60cm (across a 152cm wide scan).\n\n\">Cette technique d\u2019optimisation, d\u00e9crite par Stanley dans le document, offre une pr\u00e9cision de positionnement au centim\u00e8tre pr\u00e8s, m\u00eame lorsque le v\u00e9hicule ne chevauche que partiellement un parcours d\u00e9j\u00e0 balay\u00e9 (le rapport indique une pr\u00e9cision de moins de 6 cm pour un chevauchement de seulement 60 cm sur une largeur de scan de 152cm).<\/span><\/span><\/p>\n<p><span id=\"result_box\" lang=\"fr\"><span title=\"&quot;Since equipped cars would only needs partial overlap, the usable map area in the last public design is much larger than the width of the vehicle&quot; is keen to clarify WaveSense's CEO Tarik Bolat.\">\u00a0\u00bb Comme les voitures \u00e9quip\u00e9es n&rsquo;auront besoin que d&rsquo;un chevauchement partiel, la zone de carte utilisable est beaucoup plus grande que la largeur du v\u00e9hicule\u00a0\u00bb, tient \u00e0 pr\u00e9ciser le PDG de WaveSense, Tarik Bolat.<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p><span id=\"result_box\" lang=\"fr\"><span title=\"Of course, it will take some time and money to map out every possible road before such a system can be reliably used, and heavy data handling may be one of the fundamental limitations of this approach.\">Bien s\u00fbr, il faudra du temps et de l\u2019argent pour tracer toutes les routes possibles avant que ce syst\u00e8me puisse \u00eatre utilis\u00e9 de mani\u00e8re fiable, et le traitement de donn\u00e9es lourd peut \u00eatre l\u2019une des limites fondamentales de cette approche. <\/span><span title=\"But unlike LIDAR mapping, one pass may be enough to cover most of each lane width (since partial overlap is enough to position a vehicle).\">Mais contrairement au mapping LIDAR, un seul passage peut suffire \u00e0 couvrir la plupart des largeurs de voies (car un chevauchement partiel suffit pour positionner un v\u00e9hicule).&nbsp;<\/span><\/span> <span id=\"result_box\" lang=\"fr\"><span title=\"Because surrounding vehicles do not block the sensors' view (the GPR always gets a direct view at the ground) and because underground geology is relatively stable, each pass equates a valid map, without blind spots.\">Comme les v\u00e9hicules environnants ne bloquent pas la vue des capteurs (le GPR a toujours une vue directe sur le sol) et que la g\u00e9ologie souterraine est relativement stable, chaque passe \u00e9quivaut \u00e0 une carte valide, sans angles morts. <\/span><span title=\"Stability also means that a subsurface map would need to be scanned and updated much less frequently than a surface map.\n\n\">La stabilit\u00e9 signifie \u00e9galement qu\u2019une carte souterraine devrait \u00eatre scann\u00e9e et mise \u00e0 jour beaucoup moins fr\u00e9quemment qu\u2019une carte de surface.<\/span><\/span><\/p>\n<p><span id=\"result_box\" lang=\"fr\"><span title=\"When asked if the company would target other use cases such as utility or construction companies for which such a system may be more readily applicable to smaller fleets before aiming at the autonomous vehicle market, Bolat emphasized WaveSense's primary focus on creating maps for autonomous vehicles.\">Lorsqu&rsquo;on lui a demand\u00e9 si l&rsquo;entreprise ciblerait d&rsquo;autres cas d&rsquo;utilisation tels que les entreprises de services publics ou de construction pour lesquels un tel syst\u00e8me pourrait \u00eatre adapt\u00e9 \u00e0 une flotte plus r\u00e9duite avant de viser le march\u00e9 des v\u00e9hicules autonomes, Bolat a&nbsp; pr\u00e9cis\u00e9 que l&rsquo;objectif de Wavesense est la cr\u00e9ation de cartes pour v\u00e9hicules autonomes.&nbsp;<\/span><\/span> <span id=\"result_box\" lang=\"fr\"><span title=\"Yet the CEO admitted in an email exchange, &quot;WaveSense maps also reveal vital information for utilities, municipalities, departments of transportation, and similar types of organizations who could leverage a comprehensive underground map to improve decision making around maintenance and budgeting&quot;.\n\n\">Pourtant, le PDG a admis dans un \u00e9change de courriers \u00e9lectroniques: \u00abLes cartes WaveSense r\u00e9v\u00e8lent \u00e9galement des informations essentielles pour les services publics, les municipalit\u00e9s, les services de<\/span><\/span> transport at autres organisations qui pourraient utiliser les cartes souterraines pour la maintenance de leurs r\u00e9seaux sousterrains.<\/p>\n<p><span id=\"result_box\" lang=\"fr\"><span title=\"The company says it has several pilots underway with leading global players in the automotive and technology sectors and is currently closing a $3M seed round led by Rhapsody Venture Partners.\">La soci\u00e9t\u00e9 affirme avoir plusieurs projets pilotes en cours avec des acteurs mondiaux de premier plan dans les secteurs de l\u2019automobile et de la technologie et est en train de cl\u00f4turer un cycle de fianancement de 3 millions de dollars sous la direction de Rhapsody Venture Partners.<\/span><\/span><\/p>\n<p><strong><span lang=\"fr\"><span title=\"The company says it has several pilots underway with leading global players in the automotive and technology sectors and is currently closing a $3M seed round led by Rhapsody Venture Partners.\">La r\u00e9daction vous conseille:<\/span><\/span><\/strong><\/p>\n<p><a href=\"http:\/\/www.electronique-eci.com\/news\/renault-presente-symbioz-voiture-tout-electrique-et-autonomome\"><strong><span lang=\"fr\"><span title=\"The company says it has several pilots underway with leading global players in the automotive and technology sectors and is currently closing a $3M seed round led by Rhapsody Venture Partners.\">Renault pr\u00e9sente Symbioz, voiture tout-electrique et autonomome<\/span><\/span><\/strong><\/a><\/p>\n<p><strong><a href=\"http:\/\/www.electronique-eci.com\/news\/daimler-teste-lia-automobile-sur-5-continents\">Daimler teste l&rsquo;IA automobile sur 5 continents<\/a><\/strong><\/p>\n<p><a href=\"http:\/\/www.electronique-eci.com\/news\/un-vehicule-de-livraison-autonome-devoile-par-une-startup-californienne\"><strong>Un&nbsp;v\u00e9hicule de livraison autonome d\u00e9voil\u00e9 par une Startup Californienne<\/strong><\/a><\/p>\n<p><a href=\"http:\/\/www.electronique-eci.com\/news\/conduite-autonome-baidu-choisit-les-capteurs-semiconductor\"><strong>Conduite autonome&nbsp;: Baidu choisit les capteurs ON Semiconductor<\/strong><\/a><\/p>\n<p><a href=\"http:\/\/www.electronique-eci.com\/news\/48v-le-futur-de-la-mobilite-electrique\"><strong>48V : le futur de la mobilit\u00e9 \u00e9lectrique<\/strong><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<\/p>\n<p>WaveSense &#8211; <a href=\"https:\/\/www.globenewswire.com\/Tracker?data=OoIB2zLXuUpSMbEz-WLtTIQ1V4zW0cmLQHMttXHk1yJFl6J_0art6dppDXMiofzbdt_XlASnnSFoctFB-6ZNsQ==\" target=\"_blank\" title=\"\" rel=\"noopener\">www.wavesense.io<\/a>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fond\u00e9e en 2017 dans le but de rendre la navigation autonome, r\u00e9sistante aux intemp\u00e9ries, sur toutes les routes et dans toutes les conditions de d\u00e9marrage, WaveSense consid\u00e8re le radar p\u00e9n\u00e9trant (GPR) comme un compl\u00e9ment de s\u00e9curit\u00e9 au mat\u00e9riel de cartographie et de navigation existant.<\/p>\n","protected":false},"author":22,"featured_media":110379,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[883],"tags":[891,896,910],"domains":[47],"ppma_author":[1149],"class_list":["post-110378","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologies","tag-automotive-fr","tag-digitalsignalprocessing-fr","tag-sensing-conditioning-fr","domains-electronique-eci"],"acf":[],"yoast_head":"<title>Une voiture autonome pilot\u00e9e par cartographie sous-routi\u00e8re ...<\/title>\n<meta name=\"description\" content=\"Fond\u00e9e en 2017 dans le but de rendre la navigation autonome, r\u00e9sistante aux intemp\u00e9ries, sur toutes les routes et dans toutes les conditions de...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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