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Microsoft Teaches Autonomous Gliders to Make Decisions on the Fly
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Microsoft Teaches Autonomous Gliders to Make Decisions on the Fly
Well, then, I just have to decide whether to mount a camera in the
glider so I can enjoy the flight from my living room or simply remove the stick from my glider and go along for the ride. Will I need a Facebook account to share the flight with friends, or can I expect OLC to make the necessary software upgrades? On 8/17/2017 3:55 AM, Bob wrote: Here we go... https://www.nytimes.com/2017/08/16/t...T.nav=top-news -- Dan, 5J |
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Microsoft Teaches Autonomous Gliders to Make Decisions on the Fly
On Thursday, August 17, 2017 at 4:55:38 AM UTC-5, Bob wrote:
Here we go... https://www.nytimes.com/2017/08/16/t...T.nav=top-news Gonna get me a swarm of these guys to be my wingmen. Let them fan out ahead of me and mark the lift. Actually, R+D of autonomous soaring has been going on for some time. |
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Microsoft Teaches Autonomous Gliders to Make Decisions on the Fly
Sheesh! A brick run by an 8088 chip can soar in Nevada!
Come to Western New York and see how you do |
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Microsoft Teaches Autonomous Gliders to Make Decisions on theFly
On Thu, 17 Aug 2017 02:55:35 -0700, Bob wrote:
Here we go... https://www.nytimes.com/2017/08/16/t...osoft-teaches- autonomous-gliders-to-make-decisions-on-the-fly.html? hp&action=click&pgtype=Homepage&clickSource=story-heading&module=first- column-region®ion=top-news&WT.nav=top-news This is all really quite old news. It is annoying to see supposedly leading newspapers believing company guff about this sort of stuff when the pioneering work was done ten years ago by a PHD student, Daniel Edwards, and which was good enough to gain his doctorate. The project was called ALOFT, and was unveiled (papers and thesis published) in 2008. ALOFT is an acronym for Autonomous Locator OF Thermals. Here are relevant links. The PHD thesis: http://zoogz.gregorie.lan/reference/.../aloft_etd.pdf Control system description: see NRL/FR/5712--15-10,272 This describes the contest the ALOFT system competed in: http://www.xcsoaring.com/contests/mccc/2008/report.html Since all this was published back in 2008, I really find it hard to believe that anybody can have the sheer cheek to claim to have done original research in this area without acknowledging to previous work done by Dan Edwards, yet there's no mention of either him or of ALOFT in the NYT article. Of interest to glider pilots is that this project managed to successfully find and centre in thermals using only the data available from a GPS: the 5m model glider carried a pressure-based altimeter but got better results by using GPS altitude and ROC calculated from it because that was a less noisy signal than the pressure altimeter could provide. -- martin@ | Martin Gregorie gregorie. | Essex, UK org | |
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Microsoft Teaches Autonomous Gliders to Make Decisions on the Fly
On Tuesday, August 22, 2017 at 2:56:40 AM UTC+3, Martin Gregorie wrote:
On Thu, 17 Aug 2017 02:55:35 -0700, Bob wrote: Here we go... https://www.nytimes.com/2017/08/16/t...osoft-teaches- autonomous-gliders-to-make-decisions-on-the-fly.html? hp&action=click&pgtype=Homepage&clickSource=story-heading&module=first- column-region®ion=top-news&WT.nav=top-news This is all really quite old news. It is annoying to see supposedly leading newspapers believing company guff about this sort of stuff when the pioneering work was done ten years ago by a PHD student, Daniel Edwards, and which was good enough to gain his doctorate. The project was called ALOFT, and was unveiled (papers and thesis published) in 2008. ALOFT is an acronym for Autonomous Locator OF Thermals. Here are relevant links. The PHD thesis: http://zoogz.gregorie.lan/reference/.../aloft_etd.pdf Control system description: see NRL/FR/5712--15-10,272 This describes the contest the ALOFT system competed in: http://www.xcsoaring.com/contests/mccc/2008/report.html Since all this was published back in 2008, I really find it hard to believe that anybody can have the sheer cheek to claim to have done original research in this area without acknowledging to previous work done by Dan Edwards, yet there's no mention of either him or of ALOFT in the NYT article. Of interest to glider pilots is that this project managed to successfully find and centre in thermals using only the data available from a GPS: the 5m model glider carried a pressure-based altimeter but got better results by using GPS altitude and ROC calculated from it because that was a less noisy signal than the pressure altimeter could provide. That seems very strange and completely against the experience of every glider pilot with both a GPS and a modern MEMS pressure sensor based computerised vario. |
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Microsoft Teaches Autonomous Gliders to Make Decisions on theFly
On Mon, 21 Aug 2017 17:35:12 -0700, Bruce Hoult wrote:
Of interest to glider pilots is that this project managed to successfully find and centre in thermals using only the data available from a GPS: the 5m model glider carried a pressure-based altimeter but got better results by using GPS altitude and ROC calculated from it because that was a less noisy signal than the pressure altimeter could provide. That seems very strange and completely against the experience of every glider pilot with both a GPS and a modern MEMS pressure sensor based computerised vario. Yes, I agree. All I know is what it says in the detailed description published as NRL/FR/5712--15-10,272. It is marked as an unclassified document. This work was done in 2006/7: I know nothing about the quality of electronic pressure sensors at that time and I don't recall any description of how the pressure sensor was connected to the rest of the system or anything about what, if any, filtering or smoothing was applied to the pressure sensor. Nor, for that matter have I heard anything about people using GPS altitude information as vario input for our use. The sampling rate, at least, is similar to the response rate of many electronic varios so that approach may work for us too. You can find what looks like a full description he https://www.dsiac.org/resources/jour...2016-volume-3- number-2/pursuit-persistent-isr or search on the document reference: the first search result identifies the {PDF version that I have a private copy of but the site is either dead or very slow indeed. If the above reference doesn't give enough information you can contact me off-list: the copy I have is marked unclassified. -- martin@ | Martin Gregorie gregorie. | Essex, UK org | |
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Microsoft Teaches Autonomous Gliders to Make Decisions on the Fly
On Tuesday, August 22, 2017 at 2:24:38 PM UTC+3, Martin Gregorie wrote:
On Mon, 21 Aug 2017 17:35:12 -0700, Bruce Hoult wrote: Of interest to glider pilots is that this project managed to successfully find and centre in thermals using only the data available from a GPS: the 5m model glider carried a pressure-based altimeter but got better results by using GPS altitude and ROC calculated from it because that was a less noisy signal than the pressure altimeter could provide. That seems very strange and completely against the experience of every glider pilot with both a GPS and a modern MEMS pressure sensor based computerised vario. Yes, I agree. All I know is what it says in the detailed description published as NRL/FR/5712--15-10,272. It is marked as an unclassified document. This work was done in 2006/7: I know nothing about the quality of electronic pressure sensors at that time and I don't recall any description of how the pressure sensor was connected to the rest of the system or anything about what, if any, filtering or smoothing was applied to the pressure sensor. Nor, for that matter have I heard anything about people using GPS altitude information as vario input for our use. The sampling rate, at least, is similar to the response rate of many electronic varios so that approach may work for us too. You can find what looks like a full description he https://www.dsiac.org/resources/jour...2016-volume-3- number-2/pursuit-persistent-isr or search on the document reference: the first search result identifies the {PDF version that I have a private copy of but the site is either dead or very slow indeed. If the above reference doesn't give enough information you can contact me off-list: the copy I have is marked unclassified. When in extreme scratching situations, the pressure altitude from my 1994 Cambridge Aero Instruments "GPSNAV" (one of the first units, hired to a competitor in the 1994 pre-Worlds in Omarama) has saved my bacon a number of times by letting me know whether I'd gained three feet or lost five feet in the last circle. By 2006/7 something used in a military project should be excellent! |
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Microsoft Teaches Autonomous Gliders to Make Decisions on theFly
On Tue, 22 Aug 2017 04:48:16 -0700, Bruce Hoult wrote:
On Tuesday, August 22, 2017 at 2:24:38 PM UTC+3, Martin Gregorie wrote: On Mon, 21 Aug 2017 17:35:12 -0700, Bruce Hoult wrote: Of interest to glider pilots is that this project managed to successfully find and centre in thermals using only the data available from a GPS: the 5m model glider carried a pressure-based altimeter but got better results by using GPS altitude and ROC calculated from it because that was a less noisy signal than the pressure altimeter could provide. That seems very strange and completely against the experience of every glider pilot with both a GPS and a modern MEMS pressure sensor based computerised vario. Yes, I agree. All I know is what it says in the detailed description published as NRL/FR/5712--15-10,272. It is marked as an unclassified document. This work was done in 2006/7: I know nothing about the quality of electronic pressure sensors at that time and I don't recall any description of how the pressure sensor was connected to the rest of the system or anything about what, if any, filtering or smoothing was applied to the pressure sensor. Nor, for that matter have I heard anything about people using GPS altitude information as vario input for our use. The sampling rate, at least, is similar to the response rate of many electronic varios so that approach may work for us too. You can find what looks like a full description he https://www.dsiac.org/resources/jour...2016-volume-3- number-2/pursuit-persistent-isr or search on the document reference: the first search result identifies the {PDF version that I have a private copy of but the site is either dead or very slow indeed. If the above reference doesn't give enough information you can contact me off-list: the copy I have is marked unclassified. When in extreme scratching situations, the pressure altitude from my 1994 Cambridge Aero Instruments "GPSNAV" (one of the first units, hired to a competitor in the 1994 pre-Worlds in Omarama) has saved my bacon a number of times by letting me know whether I'd gained three feet or lost five feet in the last circle. By 2006/7 something used in a military project should be excellent! It wasn't military in 2006/7 - just the subject a PHD thesis written by a student aeronautical engineer. I'd read reports about the project in model flying publications such as the AMA's 'Model Flying' until its developer graduated. At this point it seemed to go dark fairly rapidly. My guess is that this was when the UAS surveillance crowd became aware of it: most likely when the thesis was published. More info only appeared several years later. It seems reasonable to guess that the author was pretty well-known in RC soaring circles because one of his aims, in which he succeeded, was to have ALOFT accepted as a competitor in one of the Californian cross- country soaring contests. These were multi-day events that routinely flew tasks of up to 100 km with the pilots driven round the task in a convertible or a beach lounger on the back of a pickup truck. ALOFT was hand flown for launches and landings and autonomous the rest of the time with the software running on a laptop with a bidirectional radio link to the glider, an ARTF 5m soarer kit. The laptop and its owner also followed the glider round the task by road along with the pilots of the other models. So, to me this means that the autopilot hardware was more likely to be state of the art RC model gear rather than military kit. -- martin@ | Martin Gregorie gregorie. | Essex, UK org | |
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