Jump to content

DCS: Roadmap (unofficial - NO DISCUSSION HERE)


Silver_Dragon
Go to solution Solved by Silver_Dragon,

Recommended Posts

Miltech-5 / PD

BO-105 FM:
For the last 2 weeks we have been busy calculating the helicopter downwash. This also includes the stabilizers at the rear. These will be penetrated by the downwash and will make the BO-105 behavior noticeable, especially when landing. This behavior is currently being integrated into the MEDUSA-FM.
MODELING:
At the same time, the pilot/co-pilot model is entering its final phase.

QJDp1u5.jpg

KtNXfM0.jpg

EPsDD5Y.jpg


Edited by YoYo
  • Like 17

Webmaster of http://www.yoyosims.pl

Yoyosimsbanner.gif

Win 10 64, i9-13900 KF, RTX  4090 24Gb OC, RAM 64Gb Corsair Vengeance LED OC@3600MHz,, 3xSSD+3xSSD M.2 NVMe, Predator XB271HU res.2560x1440 27'' G-sync, Sound Blaster Z + 5.1, TiR5, [MSFS, P3Dv5, DCS, RoF, Condor2, IL-2 CoD/BoX] VR fly only: Meta Quest Pro

Link to comment
Share on other sites

Heatblur update F-4E

Quote

𝐃𝐂𝐒: 𝐅-𝟒𝐄 𝐌𝐢𝐧𝐢 𝐔𝐩𝐝𝐚𝐭𝐞 𝐭𝐢𝐦𝐞!
As we continue to push on all fronts in the runup to release, we'll be sharing more frequent small snippets of work and technologies created for the F-4E and future aircraft. This time around lets talk a little about JESTER;
𝐉𝐞𝐬𝐭𝐞𝐫 𝐀𝐏𝐐-𝟏𝟐𝟎 𝐕𝐢𝐬𝐢𝐨𝐧 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦
A really challenging part of building JESTER for the Phantom, has been the way that he uses and interfaces with the radar. The APQ-120 is an old, pulse only radar, and utilizing it in a complicated environment is a true challenge as you have to, well, interpret the smudges.
We wanted JESTER to be as authentic in this respect as possible, and just as we have a vision algorithm for jester's eyeballs for anything going on outside of the cockpit, so too do we wish to simulate how he sees and interprets the radar screen.
Using convolutions of the radar scope, we've come up with a way to fairly accurately and authentically recreate what a real WSO could understand from a given radar image. Jester will not "cheat" and see contacts through clutter or other radar returns, but rather, will interpret the radar screen using a mathematical model.
We've tried to tune this as accurately to what a real human would be able to see as possible. See the attached images for examples of how JESTER interprets contacts and the convolution provides them.
𝐉𝐞𝐬𝐭𝐞𝐫 𝐒𝐰𝐢𝐦𝐥𝐚𝐧𝐞𝐬 - 𝐎𝐫 𝐇𝐚𝐧𝐝𝐬, 𝐄𝐲𝐞𝐛𝐚𝐥𝐥𝐬 𝐚𝐧𝐝 𝐕𝐨𝐢𝐜𝐞
We've also just in the last couple of days introduced more advancements to JESTER. We had hoped we could get away with a single action-queue for JESTER for all things related to his actions: i.e. speaking, flipping switches or looking somewhere. Unfortunately, we noticed a "slowdown" in JESTER once all of his functionality started slotting into place, necessitating the need of adding what can be dubbed as "Swimlanes".
Swimlanes are a sort of coroutine/multitasking system, split across the natural elements of a human: Hands, eyes, and voice. Each can independently execute tasks, like a real human. I.e., look at something, say something, or manipulate sometihng. This way we have naturally split JESTER's ability to do things in a more natural way, and thus not inhibiting cockpit manipulation while speaking, and vice versa.
In addition, we've also introduced a barrier system to complement the swimlanes. This acts like sort of a synchronization point which can synchronize two or more swimlanes where necessary. Very useful in a situation JESTER should specifically execute actions in a specific order, even if that sense or appendage is otherwise free. Think for example of a situation where JESTER flips a switch and then confirms that he has flipped it.
With the swimlanes in place, we've now unblocked the task blocking and queuing issues we've been running into, yielding a more natural and responsive JESTER. 🙂
Check out the simple and quick diagram below; and also an example of how the swimlanes are used in the API.
Thanks for the support and stay tuned for more quick-fire updates!

432759368_937658951456909_21903063809782

423239619_937658928123578_46549555590910

432717026_937658911456913_60447073239228

423004442_937658984790239_34473932958411

  • Like 7
Link to comment
Share on other sites

  • Recently Browsing   0 members

    • No registered users viewing this page.
×
×
  • Create New...