QUIZ 4: Sensor Fusion, Triangulation¶
Due date: 2026-06-13 23:59.
Recommended Resources:
- SF: Sensing and Filtering, Steven M. LaValle, PDF
- Recorded Lectures and Slides
Question 1¶
Suppose π = βΒ³, corresponding to the position of a point, π, in a 3D environment. Consider a sensor that is a pinhole camera with known position and orientation, as defined in lecture 5.
Suppose the point π is observed in the image (i.e., it lies in the field of view of the camera). Which statements are TRUE?
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Question 2¶
Using the same setup as in the previous question, suppose the point π is not observed (i.e., it lies outside the field of view of the camera).
Which statements are TRUE?
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Question 3¶
Consider the state-time space π defined as:
Z = X \times T, \qquad
X = [-1,1], \qquad
T = [0,10].
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Define the sensor:
h(x,t)=t.
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Which statements are TRUE if the observation is β(π§)=5?
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Question 4¶
Consider the preimages of a sensor β : βΒ² β β, defined as:
h(x)=\lVert x-(1,1)\rVert.
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Which statements are TRUE?
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Question 5¶
Consider a point robot with the state space π = βΒ². Define a region π β π and a sensor:
h(x)=
\begin{cases}
1, & x\in V\\
0, & x\notin V.
\end{cases}
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Which statements are TRUE?
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Question 6¶
Let π = βΒ² be a state space. There are two sensors. One sensor, ββ, measures the distance to a landmark located at coordinates (0, 0). The other sensor, ββ, measures the distance to a landmark located at coordinates (0, 4). Consider a spatial triangulation approach that uses these sensors to solve the problem of estimating the state π₯ β π.
Define the intersection of two preimages, π¦β and π¦β, as Ξ(π¦β, π¦β) = βββ»ΒΉ(π¦β) β© βββ»ΒΉ(π¦β). Which statements are TRUE?
Note: Symbol βΊ denotes "if and only if".
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Question 7¶
Consider the stateβtime space:
Z = X \times T, \quad
X = \mathbb{R}^2, \quad
T = [0,10].
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Define three sensors on π:
- Time sensor: ββ(π₯, π‘) = π‘.
- Distance-to-landmark sensor: ββ(π₯, π‘) = β₯π₯ β (0, 0)β₯.
- Detection sensor for a region π β π:
h_3(x,t) =
\begin{cases}
1, & x \in V, \\
0, & x \notin V.
\end{cases}
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For three observations, π¦β, π¦β, and π¦β, define the 3-way triangulation as the intersection of three preimages:
\Delta(y_1, y_2, y_3)
= h_1^{-1}(y_1) \cap h_2^{-1}(y_2) \cap h_3^{-1}(y_3).
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Which statements are TRUE?
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Question 8¶
Consider the state space π = βΒ².
- The distance-to-landmark at (1, 1) sensor is defined as:
β_1(π₯) = β₯π₯ β (1, 1)β₯.
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- Now suppose the sensor is affected by a nondeterministic disturbance with known bound π > 0, with the resulting nondeterministic sensor:
h_2(x,d)= β₯x β (1,1)β₯ + d, \,\,\,\, d \in [-\varepsilon, \varepsilon].
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Let π»ββ»ΒΉ denote the nondeterministic preimage of ββ(π₯, π). Which statements are TRUE?
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Question 9¶
Consider the state-time space
Z = X \times T, \qquad
X = \mathbb{R}^2, \qquad
T = [0,10].
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Now consider the time, distance, and detection sensors, as in Question 7, but assume that the time and distance sensors are affected by nondeterministic disturbances with known bounds. Let πβ > 0 and πβ > 0 denote the disturbance bounds for the time and distance sensors, respectively.
Define the following sensors on π:
- Nondeterministic time sensor: ββ(π₯, π‘, π) = π‘ + π, π β [βπβ, πβ].
- Nondeterministic distance-to-landmark at (0,0) sensor: ββ(π₯, π‘, π) = βπ₯β+ π, π β [βπβ, πβ].
- Detection sensor for a region π β π (no disturbance):
h_3(x,t) = \begin{cases}
1, & x \in V, \\
0, & x \notin V.
\end{cases}
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For observations π¦β, π¦β, π¦β, define the 3-way triangulation as the intersection of the corresponding preimages:
\Delta(y_1, y_2, y_3) =
H_{1}^{-1}(y_1)
\cap
H_{2}^{-1}(y_2)
\cap
h_3^{-1}(y_3).
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Which statements are TRUE?
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Question 10¶
Consider a point robot with the state space π = βΒ². Let π β π be a detection region.
The robot is equipped with a probabilistic detection sensor that outputs π¦ = β(π₯) β {0, 1}, where π¦ = 1 indicates π₯ β π and π¦ = 0 indicates π₯ β π.
The sensor model is:
P(y=1 \mid x\in V)=\tfrac{9}{10}, \qquad P(y=0 \mid x\in V)=\tfrac{1}{10},
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P(y=1 \mid x\notin V)=\tfrac{1}{10}, \qquad P(y=0 \mid x\notin V)=\tfrac{9}{10}.
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Assume the prior:
P(x\in V)=\tfrac{1}{2}.
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Suppose the observation is π¦ = 1. Which statements are TRUE?
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Authors¶
Anna LaValle, Steven M. LaValle.
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