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Can any aircraft navigation system plot drone Remote ID beacons on a map? How sensitive of a sensor array is necessary to trilaterate Remote ID signals and bir

Can any aircraft navigation system plot drone Remote ID beacons on a map? How sensitive of a sensor array is necessary to trilaterate Remote ID signals and birds for aircraft collision avoidance? A Multispectral sensor array (standard) would probably be most robust. From https://news.ycombinator.com/item?id=40276191 https://news.ycombinator.com/item?id=40276191 : > Are there autopilot systems that do any sort of drone, bird, or other aerial object avoidance?

westurner 2y ago
Remote ID: https://en.wikipedia.org/wiki/Remote_ID https://en.wikipedia.org/wiki/Remote_ID Airborne collision avoidance system: https://en.wikipedia.org/wiki/Airborne_collision_avoidance_system https://en.wikipedia.org/wiki/Airborne_collision_avoidance_s... "Ask HN: Next Gen, Slow, Heavy Lift Firefighting Aircraft Specs?" https://news.ycombinator.com/item?id=42665458 https://news.ycombinator.com/item?id=42665458
westurner 2y ago
Oh, weather radar would help pilots too: From https://news.ycombinator.com/item?id=43260690 https://news.ycombinator.com/item?id=43260690 : > "The National Weather Service operates 160 weather radars across the U.S. and its territories. Radar detects the size and motion of particles in rain, snow, hail and dust, which helps meteorologists track where precipitation is falling. Radar can even indicate the presence of a tornado [...]"
westurner 2y ago
From today, just now; fish my wish! "Integrated sensing and communication based on space-time-coding metasurfaces" (2025-03) https://news.ycombinator.com/item?id=43261825 https://news.ycombinator.com/item?id=43261825
westurner 2y ago
Are there already bird not a bird datasets? Procedures for creating "bird on Multispectral plane radar and video" dataset(s): Tag birds on the dashcam video with timecoded sensor data and a segmentation and annotation tool. Pinch to zoom, auto-edge detect, classification probability, sensor status voxel51/fiftyone does segmentation and annotation with video and possibly Multispectral data: https://github.com/voxel51/fiftyone https://github.com/voxel51/fiftyone
kristian1109 2y ago
A lot of drones these days will have ADS-B. The ones that don't probably have geo-fencing to keep them away from airports. There's also all kinds of drone detection systems based on RF emittance. The bird problem is a whole other issue. Mostly handled by PIREP today if birds are hanging out around an approach/departure path. Computer vision here is definitely going to be useful long term.
- westurner 2y ago
  FWIU geo-fencing was recently removed from one brand of drones. Thermal: motors, chips, heatsinks, and batteries are warm but the air is colder around propellers; RF: motor RF, circuit RF, battery RF, control channel RF, video channel RF, RF from federally required Remote ID or ADS-B beacons, gravitational waves Aircraft have less time to recover from e.g. engine and windshield failure at takeoff and landing at airports; so all drones at airports must be authorized by ATC Air Traffic Control: it is criminally illegal to fly a drone at the airport without authorization because it endangers others. Tagging a bird on the 'dashcam'+radar+sensors feed could create a PIREP: PIREP: Pilot's Report: https://en.wikipedia.org/wiki/Pilot_report https://en.wikipedia.org/wiki/Pilot_report Looks like "birds" could be coded as /SK sky cover, /WX weather and visiblity, or /RM remarks with the existing system described on wikipedia. Prometheus (originally developed by SoundCloud) does pull-style metrics: each monitored server hosts over HTTP(S) a document in binary prometheus format that the centralized monitoring service pulls from whenever they get around to it. This avoids swamping (or DOS'ing) the centralized monitoring service which must scale to the number of incoming reports in a push-style monitoring system. All metrics for the service are included in the one (1) prometheus document, which prevents requests for monitoring data from exhausting the resources of the monitored server. It is up to the implementation to determine whether to fill with nulls if sensor data is unavailable, or to for example fill forward with the previous value if sensor data is unavailable for one metric. Solutions for birds around runways and in flight paths and around wind turbines: - Lights - Sounds: human audible, ultrasonic - Thuds: birds take flight when the ground shakes - Eyes: Paint large eyes on signs by the runways
  - westurner 2y ago

westurner 2y ago

Remote ID: https://en.wikipedia.org/wiki/Remote_ID https://en.wikipedia.org/wiki/Remote_ID Airborne collision avoidance system: https://en.wikipedia.org/wiki/Airborne_collision_avoidance_system https://en.wikipedia.org/wiki/Airborne_collision_avoidance_s... "Ask HN: Next Gen, Slow, Heavy Lift Firefighting Aircraft Specs?" https://news.ycombinator.com/item?id=42665458 https://news.ycombinator.com/item?id=42665458

westurner 2y ago

Oh, weather radar would help pilots too: From https://news.ycombinator.com/item?id=43260690 https://news.ycombinator.com/item?id=43260690 : > "The National Weather Service operates 160 weather radars across the U.S. and its territories. Radar detects the size and motion of particles in rain, snow, hail and dust, which helps meteorologists track where precipitation is falling. Radar can even indicate the presence of a tornado [...]"

westurner 2y ago

From today, just now; fish my wish! "Integrated sensing and communication based on space-time-coding metasurfaces" (2025-03) https://news.ycombinator.com/item?id=43261825 https://news.ycombinator.com/item?id=43261825

westurner 2y ago

Are there already bird not a bird datasets? Procedures for creating "bird on Multispectral plane radar and video" dataset(s): Tag birds on the dashcam video with timecoded sensor data and a segmentation and annotation tool. Pinch to zoom, auto-edge detect, classification probability, sensor status voxel51/fiftyone does segmentation and annotation with video and possibly Multispectral data: https://github.com/voxel51/fiftyone https://github.com/voxel51/fiftyone

kristian1109 2y ago

A lot of drones these days will have ADS-B. The ones that don't probably have geo-fencing to keep them away from airports. There's also all kinds of drone detection systems based on RF emittance. The bird problem is a whole other issue. Mostly handled by PIREP today if birds are hanging out around an approach/departure path. Computer vision here is definitely going to be useful long term.

westurner 2y ago
FWIU geo-fencing was recently removed from one brand of drones. Thermal: motors, chips, heatsinks, and batteries are warm but the air is colder around propellers; RF: motor RF, circuit RF, battery RF, control channel RF, video channel RF, RF from federally required Remote ID or ADS-B beacons, gravitational waves Aircraft have less time to recover from e.g. engine and windshield failure at takeoff and landing at airports; so all drones at airports must be authorized by ATC Air Traffic Control: it is criminally illegal to fly a drone at the airport without authorization because it endangers others. Tagging a bird on the 'dashcam'+radar+sensors feed could create a PIREP: PIREP: Pilot's Report: https://en.wikipedia.org/wiki/Pilot_report https://en.wikipedia.org/wiki/Pilot_report Looks like "birds" could be coded as /SK sky cover, /WX weather and visiblity, or /RM remarks with the existing system described on wikipedia. Prometheus (originally developed by SoundCloud) does pull-style metrics: each monitored server hosts over HTTP(S) a document in binary prometheus format that the centralized monitoring service pulls from whenever they get around to it. This avoids swamping (or DOS'ing) the centralized monitoring service which must scale to the number of incoming reports in a push-style monitoring system. All metrics for the service are included in the one (1) prometheus document, which prevents requests for monitoring data from exhausting the resources of the monitored server. It is up to the implementation to determine whether to fill with nulls if sensor data is unavailable, or to for example fill forward with the previous value if sensor data is unavailable for one metric. Solutions for birds around runways and in flight paths and around wind turbines: - Lights - Sounds: human audible, ultrasonic - Thuds: birds take flight when the ground shakes - Eyes: Paint large eyes on signs by the runways
- westurner 2y ago