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Table 9 Principle, advantages, and disadvantages of PLAN sensors

From: Indoor navigation: state of the art and future trends

Sensor

Principle

Advantage

Disadvantage

HD map

Use detailed road and infrastructure data for precise localization and environment perception

High accuracy

High resolution

Rich environment and infrastructure layers

High requirement on update and accuracy

High accuracy requirement

Costly in generation and maintenance

LiDAR

Use infrared light waves to measure distances and generate point clouds

High ranging accuracy

Dense point cloud

Being used in consumer devices

High cost

Large size

The problem in the life span

Dependency on the significance of features

Camera

Collect and analyze images for localization and perception purposes

Low cost

Dense point clouds with colors

Passive sensing

Sensitivity to illumination and weather

Dependency on the significance of features

RADAR

Use radio waves for ranging and object detection

Low cost

Accurate ranging

Small size, being used in cars

Low measurement density

Cannot detect markers

WiFi/BLE

Use local communication signals for localization

Existing infrastructure

Supported by consumer devices

Low accuracy by RSS

High power consumption in WiFi

Problems inherent to wireless signals (e.g., multipath, NLoS, and variation)

5G

Use next-generation cellular signal for localization

Existing infrastructure

Supported by consumer devices

New features, such as miniaturized base station and mmWave MIMO

Low accuracy by RSS

Problems inherent to wireless signals

Current base station density is low

LPWAN

Use IoT signals for localization

Supported by IoT devices

Low cost

Low power consumption

Long range

Low accuracy by RSS

Problems inherent to wireless signals

INS

Measure angular rates and linear specific forces to derive motion states

Self-contained

Robust in the short term

Off-the-shelf sensors in consumer devices

Full motion states

Relative navigation solution

High cost for high-end sensors

Significant errors for low-cost sensors

GNSS

Localize device using satellite trilateration

Global absolute position fixing

High precision when converged (with RTK/PPP)

Supported by consumer devices

Signal degradation in urban and indoor regions

Prone to jam and spoof

Relatively weak in attitude determination

UWB/ultrasonic

Precise localization through precise ranging

High-precision ranging

Cost is reducing, being used in consumer devices

Require extra infrastructure

Problems inherent to wireless signals