Row 98273
Content Data
This page contains data entry 98273 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Can this technique be used for optical target acquisition and missile guidance towards, say, a tank shaped object that may have moved from the target coordinates known at launch time, using nothing other than an visual sensors?
To give you an idea of the latencies involved, a typical anti-tank missile travels at 0.5-2 mach (150 - 600 m/s), a tank is roughly 10 m long. Assuming a 30° optical angle and 1280 pixel wide image, a tank would be seen as 20 pixel object when the missile is 1.2 km away, so the entire visual guided phase of the of the journey would take from 2 to 8 seconds. During this period, the guidance system would have to make suficient passes over the video feed to keep the missile on course. What kind of on board hardware are we talking about to achieve, say, 10-20 fps?
This could be a game changer in this field, as low light CMOS sensors have come a long way in the last decade, and can generate 120 fps HD video using nothing other than moonlight. The traditional way to solve this problem, thermal IR, is highly controlled military technology.
| Field | Value |
|---|---|
| text | Can this technique be used for optical target acquisition and missile guidance towards, say, a tank shaped object that may have moved from the target coordinates known at launch time, using nothing other than an visual sensors? To give you an idea of the latencies involved, a typical anti-tank missile travels at 0.5-2 mach (150 - 600 m/s), a tank is roughly 10 m long. Assuming a 30° optical angle and 1280 pixel wide image, a tank would be seen as 20 pixel object when the missile is 1.2 km away,… |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-25 |
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Raw Record
{
"text": "Can this technique be used for optical target acquisition and missile guidance towards, say, a tank shaped object that may have moved from the target coordinates known at launch time, using nothing other than an visual sensors?\n\nTo give you an idea of the latencies involved, a typical anti-tank missile travels at 0.5-2 mach (150 - 600 m/s), a tank is roughly 10 m long. Assuming a 30° optical angle and 1280 pixel wide image, a tank would be seen as 20 pixel object when the missile is 1.2 km away, so the entire visual guided phase of the of the journey would take from 2 to 8 seconds. During this period, the guidance system would have to make suficient passes over the video feed to keep the missile on course. What kind of on board hardware are we talking about to achieve, say, 10-20 fps?\n\nThis could be a game changer in this field, as low light CMOS sensors have come a long way in the last decade, and can generate 120 fps HD video using nothing other than moonlight. The traditional way to solve this problem, thermal IR, is highly controlled military technology.",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-25",
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}
Entry Information
- Entry ID: 98273
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000