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We currently consider two frames: odom and vehicle_ned. That won't be enough to handle everything we want to do this year.
We will now have four frames: world, odom, mission, and vehicle.
vehicle is whatever we define to be the vehicle frame (likely positioned at IMU, x forward, y right)
odom is the frame in which state estimation reports and motion planning runs.
world is the frame in which persistent object locations (buckets!) are tracked.
mission is the frame that we "retare" when convenient so we can work in a specific coordinate frame.
The frames will be related as follows.
State estimation publishes the transform between odom and vehicle, which starts as identity.
Other future localization that tells us our position relative to a fixed object publishes the transform between world and odom to correct for state estimation drift.
We define the transform between world and mission as convenient, i.e. as the transform from world to vehicle to retare to our current transform.
The text was updated successfully, but these errors were encountered:
We currently consider two frames:
odom
andvehicle_ned
. That won't be enough to handle everything we want to do this year.We will now have four frames:
world
,odom
,mission
, andvehicle
.vehicle
is whatever we define to be the vehicle frame (likely positioned at IMU, x forward, y right)odom
is the frame in which state estimation reports and motion planning runs.world
is the frame in which persistent object locations (buckets!) are tracked.mission
is the frame that we "retare" when convenient so we can work in a specific coordinate frame.The frames will be related as follows.
odom
andvehicle
, which starts as identity.world
andodom
to correct for state estimation drift.world
andmission
as convenient, i.e. as the transform fromworld
tovehicle
to retare to our current transform.The text was updated successfully, but these errors were encountered: