Back to the 2025 paper

Autonomous Navigation

20257m

Explain the function, usage and application of LiDAR Sensors.

Worked SolutionAI Assisted

Solution: LiDAR Sensors

Introduction

LiDAR (Light Detection and Ranging) is a sensing technology that measures distance by emitting laser light and measuring the time taken for reflected light to return.

Working Principle

Laser pulse → Object
              ↓
        Reflected pulse
              ↓
           LiDAR sensor
              ↓
        Time measurement
              ↓
        Distance calculation

Distance is approximately calculated as:

d=cΔt2d=\frac{c\Delta t}{2}

where:

  • dd = distance to the object
  • cc = speed of light
  • Δt\Delta t = round-trip travel time
  • factor 2 accounts for outgoing and returning paths.

A scanning LiDAR rotates or electronically scans the beam to obtain measurements over many directions.

Functions

  1. Distance measurement
  2. Obstacle detection
  3. Environment mapping
  4. Localization support
  5. Object detection and tracking

Usage in Autonomous Robots

LiDAR is commonly used with SLAM (Simultaneous Localization and Mapping). The robot compares LiDAR observations with its map to estimate its position while building or updating the environment map.

Applications

  • Autonomous mobile robots
  • Warehouse robots
  • Self-driving systems
  • Industrial AGVs/AMRs
  • Obstacle avoidance
  • 2D/3D mapping
  • Building inspection
  • Surveying

Advantages

  • High distance-measurement accuracy
  • Works in low-light conditions
  • Provides dense spatial measurements
  • Useful for mapping and localization

Limitations

  • Higher cost than some simple sensors
  • Performance can be affected by highly reflective, transparent or absorbing surfaces
  • Moving parts may be present in mechanical scanning LiDAR
  • Outdoor operation can be affected by environmental conditions

Conclusion

LiDAR is an important sensor for autonomous navigation because it provides accurate geometric information about the surrounding environment for mapping, localization and obstacle avoidance.

Similar questions