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17801 Commits (456df093f110af74b6ee6e85ba6e44ced009a680)

Author SHA1 Message Date
Varun Agrawal d091a9d440 combined update and pruning 2024-11-01 20:29:24 -04:00
Varun Agrawal 8aacfa95f3 add docstrings for elimination results 2024-11-01 20:24:36 -04:00
Varun Agrawal 44e8485360 get failing tests in testHybridBayesNet to pass 2024-11-01 20:23:32 -04:00
Varun Agrawal e52970aa92 negLogConstant methods for HybridBayesNet 2024-11-01 20:23:04 -04:00
Varun Agrawal 9be3f41ca2 Correct the second term in the pruner value so that the minNegLogConstant term is set correctly 2024-11-01 19:58:23 -04:00
Varun Agrawal 1b5a6ebba9 update test name 2024-11-01 14:31:40 -04:00
Varun Agrawal 01829381da move direct FG motion model test to testHybridMotionModel.cpp 2024-11-01 14:31:27 -04:00
Varun Agrawal f5f878e6fa update test group 2024-11-01 14:30:31 -04:00
Frank Dellaert 67495babae
Merge pull request #1888 from borglab/feature/wrapF 
F wrapper and bugfix
 2024-10-31 12:43:50 -07:00
Frank Dellaert dfb69f367d Merge branch 'feature/wrapF' into feature/essential_transfer 2024-10-31 10:34:31 -07:00
Frank Dellaert 56943f7be8 Better SVD handling 2024-10-31 10:32:04 -07:00
Jeffrey 0d9c3a9958 Remove unused variable 2024-10-31 22:23:22 +08:00
Jeffrey 1a5e711f0e Further optimize the implementation of BayesTreeMarginalizationHelper: 
Now we won't re-emilinate any unnecessary nodes (we re-emilinated
whole subtrees in the previous commits, which is not optimal)
 2024-10-31 21:52:45 +08:00
Jeffrey 14c3467520 Remove old marginalization code in IncrementalFixedLagSmoother.cpp 2024-10-31 19:05:54 +08:00
Jeffrey 67b0b78ea1 Update BayesTreeMarginalizationHelper: 
1. Refactor code in BayesTreeMarginalizationHelper;
2. And avoid the unnecessary re-elimination of subtrees
   that only contain marginalizable variables;
 2024-10-31 18:58:49 +08:00
Varun Agrawal d985f2fc25 add missing header 2024-10-30 18:21:14 -04:00
Varun Agrawal 650bd576ea Merge branch 'develop' into check-isam 2024-10-30 18:20:10 -04:00
Varun Agrawal b2e586bb27
Merge pull request #1891 from borglab/fix/gcc-warning 2024-10-30 17:41:58 -04:00
Varun Agrawal f4f54dd12d
Merge pull request #1892 from borglab/cleanup-hybrid-tests 2024-10-30 17:41:18 -04:00
Frank Dellaert ecc736667b
Merge pull request #1856 from borglab/feature/attitude 
Navigation docs
 2024-10-30 13:52:07 -07:00
Varun Agrawal 31f0011d5f update all tests 2024-10-30 16:33:28 -04:00
Varun Agrawal be9fb064f5 method to get the nonlinear factors 2024-10-30 16:32:06 -04:00
Frank Dellaert 38ffcc3e5c Switch measured/reference language. 2024-10-30 12:05:57 -07:00
Varun Agrawal 7f07509388 remove linearizedFactorGraph and use linearized unary and binary factors 2024-10-30 13:51:39 -04:00
Frank Dellaert 0c0ae7478c Merge branch 'develop' into feature/attitude 2024-10-30 10:29:57 -07:00
Jose Luis Blanco-Claraco 8bd4738f47
Fix warning: ‘beta’ may be used uninitialized in this function 2024-10-29 23:40:37 +01:00
Frank Dellaert d0808fcfc5 Merge branch 'feature/wrapF' into feature/essential_transfer 2024-10-29 11:58:35 -07:00
Frank Dellaert 5a2f1f8893 Get rid of scale 2024-10-29 11:57:14 -07:00
Frank Dellaert 64579373be Fix small issues and store scaled s_ 2024-10-29 11:57:07 -07:00
Frank Dellaert 8af0465d92 Median/plotting/initF 2024-10-29 11:56:07 -07:00
Frank Dellaert c68858d7b6 Get rid of scale 2024-10-29 11:55:55 -07:00
Varun Agrawal 6734cd332f formatting 2024-10-29 14:45:43 -04:00
Varun Agrawal dfc91469bc discreteFactors method 2024-10-29 14:45:19 -04:00
Frank Dellaert 005efb3f07 Abbreviate methods 2024-10-29 11:07:32 -07:00
Frank Dellaert 6b96ae217f Fix small issues and store scaled s_ 2024-10-29 10:58:08 -07:00
Varun Agrawal ae95c6e84a clean up tests and TODOs 2024-10-29 13:50:10 -04:00
Frank Dellaert 3e14b7194f Add CalibratedEssentialMatrix case 2024-10-29 10:30:22 -07:00
Varun Agrawal 095a4cd187 remove print 2024-10-29 13:09:27 -04:00
Frank Dellaert 874fb5919f Show iterations and add extra points 2024-10-29 09:34:33 -07:00
Frank Dellaert aa0db60a52 Add SimpleF case 2024-10-29 09:21:19 -07:00
Varun Agrawal 4d5f1c0f43 formatting 2024-10-29 10:37:17 -04:00
Varun Agrawal 649da80c91 prune nonlinear factors in HybridNonlinearISAM 2024-10-29 10:03:23 -04:00
Jeffrey c6ba2b5fd8 update doc string in BayesTreeMarginalizationHelper.h 2024-10-29 15:13:09 +08:00
Varun Agrawal b4c7d3af81 formatting 2024-10-29 01:56:58 -04:00
Varun Agrawal 3c06f07551 check if NonlinearFactor is valid before linearizing 2024-10-29 01:56:03 -04:00
Varun Agrawal 3c50f9387c add pruning support for HybridNonlinearFactor 2024-10-29 01:55:04 -04:00
Frank Dellaert bbba497ca1 Add prior, use calibrations 2024-10-28 15:59:19 -07:00
Frank Dellaert 60ce938e31 Add prior templates 2024-10-28 15:59:19 -07:00
Frank Dellaert c0bac3cac5 Error checking 2024-10-28 15:59:19 -07:00
Frank Dellaert 39d74d1d2a Add missing template 2024-10-28 15:59:19 -07:00