From ros-release-bounces@lists.ros.org Mon Nov 14 19:31:05 2016 Return-Path: X-Original-To: ros-lurker@osuosl.org Delivered-To: ros-lurker@osuosl.org Received: from whitealder.osuosl.org (smtp1.osuosl.org [140.211.166.138]) by ash.osuosl.org (Postfix) with ESMTP id A0FE31C2BEE for ; Mon, 14 Nov 2016 19:31:05 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by whitealder.osuosl.org (Postfix) with ESMTP id 9A25791D42 for ; Mon, 14 Nov 2016 19:31:05 +0000 (UTC) X-Virus-Scanned: amavisd-new at osuosl.org X-Spam-Flag: NO X-Spam-Score: -1.524 X-Spam-Level: X-Spam-Status: No, score=-1.524 required=5 tests=[DKIM_SIGNED=0.1, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-2.3, SPF_SOFTFAIL=0.665, T_DKIM_INVALID=0.01] autolearn=ham Received: from whitealder.osuosl.org ([127.0.0.1]) by localhost (.osuosl.org [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id Ylw8LqD0BAAH; Mon, 14 Nov 2016 19:31:01 +0000 (UTC) Received: from ash.osuosl.org (ash.osuosl.org [140.211.166.34]) by whitealder.osuosl.org (Postfix) with ESMTP id 752AA91CCC; Mon, 14 Nov 2016 19:31:01 +0000 (UTC) X-Original-To: ros-release@lists.ros.org Delivered-To: ros-release@osuosl.org Received: from whitealder.osuosl.org (smtp1.osuosl.org [140.211.166.138]) by ash.osuosl.org (Postfix) with ESMTP id EA2E51C2BEE for ; Mon, 14 Nov 2016 19:30:59 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by whitealder.osuosl.org (Postfix) with ESMTP id E466491C43 for ; Mon, 14 Nov 2016 19:30:59 +0000 (UTC) X-Virus-Scanned: amavisd-new at osuosl.org Received: from whitealder.osuosl.org ([127.0.0.1]) by localhost (.osuosl.org [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id GFJi0w8i4BTm for ; Mon, 14 Nov 2016 19:30:56 +0000 (UTC) X-Greylist: from auto-whitelisted by SQLgrey-1.7.6 Received: from mx-out-04b.sjc1.discourse.org (mx-out-04b.sjc1.discourse.org [64.71.168.241]) by whitealder.osuosl.org (Postfix) with ESMTPS id DB7BA91D23 for ; Mon, 14 Nov 2016 19:30:56 +0000 (UTC) Received: from localhost.localdomain (unknown [IPv6:2001:470:aa:8::29e:122:3550]) by mx-out-04b.sjc1.discourse.org (Postfix) with ESMTP id 5821421CA4 for ; Mon, 14 Nov 2016 19:30:56 +0000 (UTC) DKIM-Signature: v=1; a=rsa-sha256; c=simple/simple; d=discoursemail.com; s=sjc1; t=1479151856; bh=iTYida7OSn7STOzvvLfPRqmMCuq2amehX+BzDbDXNqY=; h=Date:From:Reply-To:To:In-Reply-To:References:Subject: List-Unsubscribe:List-ID:List-Archive; b=ATW9TsHZAkHHCXthIEPxY22ifRinhoBaOooe0BNn71gJSV4Joot0PfsvPKdBjJMvn gUvkAVfRcwCZH0qJOT1eOjXDpp3fl9RvtcfY+QOFwV3lW5XJ5VnwPQy+w3J12kGXCF vegjmdz5BV1JEsU+CuRt1RKrABbVY+/4jJ+Yf7oBFdCoqn1sv/UvsAskKHUkuQ6FkY TFh6UCDqGhDUz42ANXd2WTAOUPCy+pBZ/iisteUkEJNx1msVW7OxiDVfAXOXolVYrF cwSI0yTvLbYdB7gWNN4XB1NhST4qkNPLsEXlG9ShiDus/Dh+FnYTYCOCxml1gA801s fM8+2i0FnZFVQ== Date: Mon, 14 Nov 2016 19:30:56 +0000 To: ros-release@lists.ros.org Message-ID: In-Reply-To: References: Mime-Version: 1.0 X-Auto-Response-Suppress: All Auto-Submitted: auto-generated Precedence: list Subject: [ros-release] [Discourse.ros.org] [Release] Release of Event-Camera Dataset and Simulator X-BeenThere: ros-release@lists.ros.org X-Mailman-Version: 2.1.18-1 List-Id: The ROS release mailing list List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , From: Davide Scaramuzza via ros-release Reply-To: "Discourse.ros.org" , Davide Scaramuzza , The ROS release mailing list Content-Type: multipart/mixed; boundary="===============9219918825292676232==" Errors-To: ros-release-bounces@lists.ros.org Sender: "ros-release" --===============9219918825292676232== Content-Type: multipart/alternative; boundary="--==_mimepart_582a10f04aa51_693fb265ac98681941e1"; charset=UTF-8 Content-Transfer-Encoding: 7bit ----==_mimepart_582a10f04aa51_693fb265ac98681941e1 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 7bit Dear colleagues, We are very happy to announce the release of the first public collection of datasets recorded with an event camera (DAVIS) for pose estimation, visual odometry, and SLAM applications! The data also include intensity images, inertial measurements, ground truth from a motion-capture system, synthetic data, as well as an event camera simulator that allows you to create your own sequences! All the data are released both as standard text files and binary files (i.e., rosbag). Dataset: http://rpg.ifi.uzh.ch/davis_data.html Paper: https://arxiv.org/pdf/1610.08336v1 Video of some of the sequences: https://youtu.be/bVVBTQ7l36I More on our research on event vision: http://rpg.ifi.uzh.ch/research_dvs.html We provide data: * from a large variety of scenarios, ranging from indoors to outdoors, and high dynamic range * featuring a variety of motions, from slow to fast, 1-DOF to 6-DOF * with several sequences recorded using a motorized linear slider, leading to very smooth motions! * synthetic data and, moreover, an event camera simulator that allows you to create your own sequences! * including intensity images and inertial measurements at high frequencies. * with precise ground truth from a motion-capture system. * with accurate intrinsic and extrinsic calibration. -------------------------------------------------------------- About event cameras and the DAVIS sensor -------------------------------------------------------------- Event cameras are revolutionary vision sensors that overcome the limitations of standard cameras in scenes characterized by high-dynamic range and high-speed motion: https://youtu.be/iZZ77F-hwzs However, as these cameras are still expensive and not widely spread, we hope that will accelerate research on event-based algorithms! Our dataset was recorded with a DAVIS240C sensor, which incorporates a conventional global-shutter camera and an event-based sensor in the same pixel array. This sensor has great potential for high-speed and high-dynamic range robotics and computer vision applications because it combines the benefits of conventional cameras with those of event-based sensors: low latency, high temporal resolution (~1 micro-second), and very high dynamic range (120 dB). However, new algorithms are required to exploit the sensor characteristics and cope with its unconventional output, which consists of a stream of asynchronous brightness changes (called "events") and synchronous grayscale frames. We greatly acknowledge our sponsors: the DARPA FLA Program, the Google Faculty Research Award, the Qualcomm Innovation Fellowship, the SNSF-ERC Starting Grant, NCCR Robotics, the Swiss National Science Foundation, and the UZH Forschungskredit. All feedback is very welcome! Elias Mueggler, Henri Rebecq, Guillermo Gallego, Tobi Delbruck, Davide Scaramuzza --- [Visit Topic](http://discourse.ros.org/t/release-of-event-camera-dataset-and-simulator/818/1) or reply to this email to respond. To unsubscribe from these emails, [click here](http://discourse.ros.org/email/unsubscribe/861ccd5db5c0fa9f63e2ab14ec9e8b0ff1c98ec9a2bbf72dd618646bd8f1883c). ----==_mimepart_582a10f04aa51_693fb265ac98681941e1 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Dav= ide_Scaramuzza
November 14

Dear colleagues,

We are very happy to announce the r= elease of the first public collection of datasets recorded with an event = camera (DAVIS) for pose estimation, visual odometry, and SLAM application= s! The data also include intensity images, inertial measurements, ground = truth from a motion-capture system, synthetic data, as well as an event c= amera simulator that allows you to create your own sequences! All the dat= a are released both as standard text files and binary files (i.e., rosbag= ).

Dataset: http://rpg.ifi.uzh.ch/davis_data.html=
Paper: https://arxiv.org/pdf/1610.08336v1
Video of some of the sequences= : https://youtu.be/b= VVBTQ7l36I
More on our research on event vision: http://rpg.ifi.uzh.ch/rese= arch_dvs.html

We provide data:
* from a large = variety of scenarios, ranging from indoors to outdoors, and high dynamic = range
* featuring a variety of motions, from slow to fast, 1-DOF to 6-= DOF
* with several sequences recorded using a motorized linear slider,= leading to very smooth motions!
* synthetic data and, moreover, an ev= ent camera simulator that allows you to create your own sequences!
* i= ncluding intensity images and inertial measurements at high frequencies.<= br>* with precise ground truth from a motion-capture system.
* with ac= curate intrinsic and extrinsic calibration.


About event cameras and the DAVIS s= ensor


Event cameras are revolutionary vis= ion sensors that overcome the limitations of standard cameras in scenes c= haracterized by high-dynamic range and high-speed motion: https://youtu.be/iZZ77F-hwzs Ho= wever, as these cameras are still expensive and not widely spread, we hop= e that will accelerate research on event-based algorithms!
Our dataset= was recorded with a DAVIS240C sensor, which incorporates a conventional = global-shutter camera and an event-based sensor in the same pixel array. = This sensor has great potential for high-speed and high-dynamic range rob= otics and computer vision applications because it combines the benefits o= f conventional cameras with those of event-based sensors: low latency, hi= gh temporal resolution (~1 micro-second), and very high dynamic range (12= 0 dB). However, new algorithms are required to exploit the sensor charact= eristics and cope with its unconventional output, which consists of a str= eam of asynchronous brightness changes (called "events") and synchronous = grayscale frames.

We greatly acknowledge our sponsors= : the DARPA FLA Program, the Google Faculty Research Award, the Qualcomm = Innovation Fellowship, the SNSF-ERC Starting Grant, NCCR Robotics, the Sw= iss National Science Foundation, and the UZH Forschungskredit.

All feedback is very welcome!

Elias Mueggler, Henri Rebecq, Guill= ermo Gallego, Tobi Delbruck, Davide Scaramuzza


Visit T= opic or reply to this email to respond.

To unsubscribe from these emails, click here.

=
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