Return roll pitch yaw from quaternion

Return roll pitch yaw from quaternion

Return inverse of quaternion.

Return inverse of quaternion.

Return multiplication of two quaternions.

Return multiplication of two quaternions.

Return homogeneous rotation matrix from quaternion in JPL notation. quaternion = [x y z w]

Return homogeneous rotation matrix from quaternion in JPL notation. quaternion = [x y z w]

Return quaternion for rotation about axis. >>> q = quaternion_about_axis(0.123, (1, 0, 0)) >>> numpy.allclose(q, [0.06146124, 0, 0, 0.9981094

Return quaternion for rotation about axis. >>> q = quaternion_about_axis(0.123, (1, 0, 0)) >>> numpy.allclose(q, [0.06146124, 0, 0, 0.9981094

Return quaternion from Euler angles and axis sequence. ai, aj, ak : Euler's roll, pitch and yaw angles axes : One of 24 axis sequences as str

Return quaternion from Euler angles and axis sequence. ai, aj, ak : Euler's roll, pitch and yaw angles axes : One of 24 axis sequences as str

Return inverse of quaternion. >>> q0 = random_quaternion() >>> q1 = quaternion_inverse(q0) >>> numpy.allclose(quaternion_multiply(q0, q1)

Return inverse of quaternion. >>> q0 = random_quaternion() >>> q1 = quaternion_inverse(q0) >>> numpy.allclose(quaternion_multiply(q0, q1)

equal-area projection according to: https://math.stackexchange.com/questions/44689/how-to-find-a-random-axis-or-unit-vector-in-3d cfo

equal-area projection according to: https://math.stackexchange.com/questions/44689/how-to-find-a-random-axis-or-unit-vector-in-3d cfo

Return uniform random rotation matrix. rnd: array like Three independent random variables that are uniformly distributed between

Return uniform random rotation matrix. rnd: array like Three independent random variables that are uniformly distributed between

Return array of random doubles in the half-open interval [0.0, 1.0). >>> v = random_vector(10000) >>> numpy.all(v >= 0.0) and numpy.all(v < 1

Return array of random doubles in the half-open interval [0.0, 1.0). >>> v = random_vector(10000) >>> numpy.all(v >= 0.0) and numpy.all(v < 1

Propagates pose, speeds and biases with given IMU measurements.

Return mirror plane point and normal vector from reflection matrix. >>> v0 = numpy.random.random(3) - 0.5 >>> v1 = numpy.random.random(3) - 0

Return mirror plane point and normal vector from reflection matrix. >>> v0 = numpy.random.random(3) - 0.5 >>> v1 = numpy.random.random(3) - 0

Return matrix to mirror at plane defined by point and normal vector. >>> v0 = numpy.random.random(4) - 0.5 >>> v0[3] = 1.0 >>> v1 = numpy

Return matrix to mirror at plane defined by point and normal vector. >>> v0 = numpy.random.random(4) - 0.5 >>> v0[3] = 1.0 >>> v1 = numpy

- general function to bookkeeping points ids that are related to a frame

- point fixation prior

Bookkeeping functions - visible points to frame

- reobserved landmarks

Reset the current timer and the accumulated

Will reset the map as soon as the current frame is finished processing.

Reset the frame handler. Implement in derived class.

Reset the (local) parameterisation of a parameter block.

Replace the parameters connected to a residual block ID.

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sizes \brief Residual dimension.

sizes \brief Residual dimension.

sizes \brief Residual dimension.

sizes \brief Residual dimension.

sizes (inherited pure virtuals from ::ceres_backend::ErrorInterface) \brief Residual dimension.

sizes \brief Residual dimension.

From GTSAM