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AI · Theory

Basics of LiDAR - Light Detection and Ranging

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Theory

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Basics of LiDAR - Light Detection and Ranging

Basics of LiDAR - Light Detection and Ranging is a search strategy. Say the data structure, whether it uses a heuristic, and if it guarantees a shortest path. Draw a tiny 6-node graph. That is the exam, not a textbook proof.

Output — idea / do / check for Basics of LiDAR - Light Detection and Ranging. Fill those three in the viva.

For Basics of LiDAR - Light Detection and Ranging: always mark visited nodes or you loop. Say complexity in plain words: time vs memory trade-off.

Exam tip

DS + heuristic yes/no + optimality.

Example

# Basics of LiDAR - Light Detection and Ranging
print("idea :", "Basics of LiDAR - Light Detection and Rang")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Basics of LiDAR - Light Detection and Ranging. Fill those three in the viva.

Short notes

  • DefBasics of LiDAR - Light Detection and Ranging — how we walk the state graph.
  • RuleBasics of LiDAR - Light Detection and Ranging — visited set.
  • RememberBasics of LiDAR - Light Detection and Ranging — heuristic or not?

Questions

1

Explain Basics of LiDAR - Light Detection and Ranging as if you are teaching a junior — definition, then one example.

2

What does the example print, and what does that prove?

3

What mistake do freshers make with Basics of LiDAR - Light Detection and Ranging?

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