Joint Model (commaai#24213)

* update models

* wip lanelines mhp parsing

* typos

* newer models

* 95995a49-db0c-4261-8776-b90780dc2a8c/600

* Use laneful policy to prevent planner aggression

* c8c3ab69-bd2c-4d1c-a7f8-9e8457e4827b/950

* ede8f75a-df3e-41fb-bc56-63e2f33858e5/950

* 7205c5af-7532-4215-ad9b-678789054db7/995

* bfb34fa3-1d72-4987-854f-43d42ee01015/950

* change cost

* 8ae2477a-b452-4601-b04c-d3af66ea5e98/950

* Update heading cost

* 9b991314-94f5-4f0b-872e-58d95266e4d0/333

* 9b991314-94f5-4f0b-872e-58d95266e4d0/950

* ede8f75a-df3e-41fb-bc56-63e2f33858e5/950

* undo lateral planner changes

* rm whitespace

* update ref

Co-authored-by: Harald Schafer <harald.the.engineer@gmail.com>

selfdrive/modeld/models/driving.cc

@@ -228,19 +228,24 @@ void fill_plan(cereal::ModelDataV2::Builder &framed, const ModelOutputPlanPredic
 
 void fill_lane_lines(cereal::ModelDataV2::Builder &framed, const std::array<float, TRAJECTORY_SIZE> &plan_t,
                      const ModelOutputLaneLines &lanes) {
+
+  const auto &left_far = lanes.get_lane_idx(0);
+  const auto &left_near = lanes.get_lane_idx(1);
+  const auto &right_near = lanes.get_lane_idx(2);
+  const auto &right_far = lanes.get_lane_idx(3);
   std::array<float, TRAJECTORY_SIZE> left_far_y, left_far_z;
   std::array<float, TRAJECTORY_SIZE> left_near_y, left_near_z;
   std::array<float, TRAJECTORY_SIZE> right_near_y, right_near_z;
   std::array<float, TRAJECTORY_SIZE> right_far_y, right_far_z;
   for (int j=0; j<TRAJECTORY_SIZE; j++) {
-    left_far_y[j] = lanes.mean.left_far[j].y;
-    left_far_z[j] = lanes.mean.left_far[j].z;
-    left_near_y[j] = lanes.mean.left_near[j].y;
-    left_near_z[j] = lanes.mean.left_near[j].z;
-    right_near_y[j] = lanes.mean.right_near[j].y;
-    right_near_z[j] = lanes.mean.right_near[j].z;
-    right_far_y[j] = lanes.mean.right_far[j].y;
-    right_far_z[j] = lanes.mean.right_far[j].z;
+    left_far_y[j] = left_far.mean[j].y;
+    left_far_z[j] = left_far.mean[j].z;
+    left_near_y[j] = left_near.mean[j].y;
+    left_near_z[j] = left_near.mean[j].z;
+    right_near_y[j] = right_near.mean[j].y;
+    right_near_z[j] = right_near.mean[j].z;
+    right_far_y[j] = right_far.mean[j].y;
+    right_far_z[j] = right_far.mean[j].z;
   }
 
   auto lane_lines = framed.initLaneLines(4);
@@ -250,10 +255,10 @@ void fill_lane_lines(cereal::ModelDataV2::Builder &framed, const std::array<floa
   fill_xyzt(lane_lines[3], plan_t, X_IDXS_FLOAT, right_far_y, right_far_z);
 
   framed.setLaneLineStds({
-    exp(lanes.std.left_far[0].y),
-    exp(lanes.std.left_near[0].y),
-    exp(lanes.std.right_near[0].y),
-    exp(lanes.std.right_far[0].y),
+    exp(left_far.std[0].y),
+    exp(left_near.std[0].y),
+    exp(right_near.std[0].y),
+    exp(right_far.std[0].y),
   });
 
   framed.setLaneLineProbs({

selfdrive/modeld/models/driving.h

@@ -28,6 +28,8 @@ constexpr int META_STRIDE = 7;
 constexpr int PLAN_MHP_N = 5;
 constexpr int STOP_LINE_MHP_N = 3;
 
+constexpr int LANELINES_MHP_N = 4;
+
 constexpr int LEAD_MHP_N = 2;
 constexpr int LEAD_TRAJ_LEN = 6;
 constexpr int LEAD_PRED_DIM = 4;
@@ -77,14 +79,6 @@ struct ModelOutputPlans {
 };
 static_assert(sizeof(ModelOutputPlans) == sizeof(ModelOutputPlanPrediction)*PLAN_MHP_N);
 
-struct ModelOutputLinesXY {
-  std::array<ModelOutputYZ, TRAJECTORY_SIZE> left_far;
-  std::array<ModelOutputYZ, TRAJECTORY_SIZE> left_near;
-  std::array<ModelOutputYZ, TRAJECTORY_SIZE> right_near;
-  std::array<ModelOutputYZ, TRAJECTORY_SIZE> right_far;
-};
-static_assert(sizeof(ModelOutputLinesXY) == sizeof(ModelOutputYZ)*TRAJECTORY_SIZE*4);
-
 struct ModelOutputLineProbVal {
   float val_deprecated;
   float val;
@@ -99,12 +93,28 @@ struct ModelOutputLinesProb {
 };
 static_assert(sizeof(ModelOutputLinesProb) == sizeof(ModelOutputLineProbVal)*4);
 
+struct ModelOutputLaneLinesElement {
+  std::array<ModelOutputYZ, TRAJECTORY_SIZE> mean;
+  std::array<ModelOutputYZ, TRAJECTORY_SIZE>  std;
+  std::array<float, LANELINES_MHP_N> prob;
+};
+static_assert(sizeof(ModelOutputLaneLinesElement) == (sizeof(ModelOutputYZ)*TRAJECTORY_SIZE*2) + sizeof(float)*LANELINES_MHP_N);
+
 struct ModelOutputLaneLines {
-  ModelOutputLinesXY mean;
-  ModelOutputLinesXY std;
+  std::array<ModelOutputLaneLinesElement, LANELINES_MHP_N> prediction;
   ModelOutputLinesProb prob;
+
+  constexpr const ModelOutputLaneLinesElement &get_lane_idx(int lane_idx) const {
+    int max_idx = 0;
+    for (int i = 1; i < prediction.size(); i++) {
+      if (prediction[i].prob[lane_idx] > prediction[max_idx].prob[lane_idx]) {
+        max_idx = i;
+      }
+    }
+    return prediction[max_idx];
+  }
 };
-static_assert(sizeof(ModelOutputLaneLines) == (sizeof(ModelOutputLinesXY)*2) + sizeof(ModelOutputLinesProb));
+static_assert(sizeof(ModelOutputLaneLines) == (sizeof(ModelOutputLaneLinesElement)*LANELINES_MHP_N) + (sizeof(ModelOutputLinesProb)));
 
 struct ModelOutputEdgessXY {
   std::array<ModelOutputYZ, TRAJECTORY_SIZE> left;

selfdrive/test/process_replay/model_replay_ref_commit

@@ -1 +1 @@
-5fb5cd71a6e878cf45593ecea22c93e932f70c31
+885bbd4bc01d474795ae81da734be78b75fa4658