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@@ -70,7 +70,7 @@ namespace NM {
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// to-be-walked distance;
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const float toBeWalkedDist = params.getToBeWalkedDistance();
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const float toBeWalkedDistSafe = 0.75 + toBeWalkedDist * 1.1;
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const float toBeWalkedDistSafe = 0.75 + toBeWalkedDist * 1.1;
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// construct reachable region
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NavMeshSub<Tria> reachable(params.start, toBeWalkedDistSafe);
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@@ -84,23 +84,23 @@ namespace NM {
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// is above destination reachable?
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if (dstTria) {
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re.heading = params.heading; // heading was OK -> keep
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re.location.pos = dstTria->toPoint3(dst); // new destination position
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re.location.tria = dstTria; // new destination triangle
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re.heading = params.heading; // heading was OK -> keep
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re.location.pos = dstTria->toPoint3(dst); // new destination position
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re.location.tria = dstTria; // new destination triangle
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++hits;
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} else {
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NavMeshRandom<Tria> rnd = reachable.getRandom(); // random-helper
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re.location = rnd.draw(); // get a random destianation
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re.heading = Heading(params.start.pos.xy(), re.location.pos.xy()); // update the heading
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NavMeshRandom<Tria> rnd = reachable.getRandom(); // random-helper
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re.location = rnd.draw(); // get a random destianation
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re.heading = Heading(params.start.pos.xy(), re.location.pos.xy()); // update the heading
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++misses;
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}
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const int total = (hits + misses);
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if (total % 10000 == 0) {
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//std::cout << "hits: " << (hits*100/total) << "%" << std::endl;
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//std::cout << "hits: " << (hits*100/total) << "%" << std::endl;
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}
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// calculate probability
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@@ -29,7 +29,7 @@ namespace SMC {
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State state;
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/** the (current) probability for this state */
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double weight;
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double weight;
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/** empty ctor */
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@@ -138,13 +138,13 @@ namespace SMC {
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if (lastNEff < particles.size() * nEffThresholdPercent) {resampler->resample(particles); }
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// perform the transition step
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transition->transition(particles, control);
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transition->transition(particles, control);
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// perform the evaluation step and calculate the sum of all particle weights
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evaluation->evaluation(particles, observation);
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// normalize the particle weights and thereby calculate N_eff
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lastNEff = normalize();
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// normalize the particle weights and thereby calculate N_eff
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lastNEff = normalize();
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//std::cout << "normalized. n_eff is " << lastNEff << std::endl;
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@@ -160,7 +160,7 @@ namespace SMC {
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void updateTransitionOnly(const Control* control) {
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// sanity checks (if enabled)
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Assert::isNotNull(transition, "transition MUST not be null! call setTransition() first!");
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Assert::isNotNull(transition, "transition MUST not be null! call setTransition() first!");
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// perform the transition step
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transition->transition(particles, control);
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@@ -171,13 +171,13 @@ namespace SMC {
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State updateEvaluationOnly(const Observation& observation) {
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// sanity checks (if enabled)
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Assert::isNotNull(resampler, "resampler MUST not be null! call setResampler() first!");
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Assert::isNotNull(resampler, "resampler MUST not be null! call setResampler() first!");
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Assert::isNotNull(evaluation, "evaluation MUST not be null! call setEvaluation() first!");
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Assert::isNotNull(estimation, "estimation MUST not be null! call setEstimation() first!");
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Assert::isNotNull(estimation, "estimation MUST not be null! call setEstimation() first!");
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// if the number of efficient particles is too low, perform resampling
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if (lastNEff < particles.size() * nEffThresholdPercent) { resampler->resample(particles); }
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//resampler->resample(particles);
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// if the number of efficient particles is too low, perform resampling
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if (lastNEff < particles.size() * nEffThresholdPercent) { resampler->resample(particles); }
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//resampler->resample(particles);
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// perform the evaluation step and calculate the sum of all particle weights
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evaluation->evaluation(particles, observation);
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@@ -188,7 +188,7 @@ namespace SMC {
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//Assert::isNotNull(weightSum, "sum of all particle weights (returned from eval) is 0.0!");
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// normalize the particle weights and thereby calculate N_eff
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lastNEff = normalize();
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lastNEff = normalize();
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// estimate the current state
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const State est = estimation->estimate(particles);
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