Positioning systems for active safety applications Flashcards

1
Q

Position critical applications (examples)

A

Position critical applications (examples)

  • Navigation system
  • Cooperative systems (many different)
  • Automated vehicles • Road curvature estimation (e.g. overtaking support)
  • Intersection support
  • Test-track experiments (high price OK)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Performance of GPS

A

GPS

  • 24 (+6) satellites
  • ~20 000km orbit
  • 3 ns time accuracy
  • Exact positioning of satellites
  • Hand held units – ”triangulates” position with satellites.
  • Several sources of error
  • Differential GPS – increased accuracy
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What data is used? (GPS)

A

What data is used?

  • Satellite Almanac Data - Orbital data to calculate approximate GPS satellites location. Valid days.
  • Satellite Ephemeris data - Orbital data enables better satellite position for ranging. Valid for hours
  • Signal Timing Data: Time tagging in GPS data stream. To determine satellite-to-user propagation delay for ranging.
  • Ionospheric Delay Data: estimates of ionospheric delay
  • Satellite Health Message: Information regarding the current health of the satellite
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Explain Satellite Almanac Data.

A

• Satellite Almanac Data - Orbital data to calculate approximate GPS satellites location. Valid days.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Explain Satellite Ephemeris data

A

Satellite Ephemeris data - Orbital data enables better satellite position for ranging. Valid for hours

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Explain Signal Timing Data

A

Signal Timing Data: Time tagging in GPS data stream. To determine satellite-to-user propagation delay for ranging.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Explain Ionospheric Delay Data.

A

Ionospheric Delay Data: estimates of ionospheric delay

The ionosphere (/aɪˈɒnəˌsfɪər/[1][2]) is the ionized part of Earth’s upper atmosphere, from about 60 km (37 mi) to 1,000 km (620 mi) altitude, a region that includes the thermosphereand parts of the mesosphere and exosphere. The ionosphere is ionized by solar radiation. It plays an important role in atmospheric electricity and forms the inner edge of the magnetosphere. It has practical importance because, among other functions, it influences radio propagation to distant places on the Earth.[3]

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Explain Satellite Health Message

A

Satellite Health Message: Information regarding the current health of the satellite.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What are GPS – Errors?

A

GPS – Errors

  • Ionospheric Propagation Errors: Wave propagation. Error:1 m at night to 5-15 m daytime
  • Tropospheric Propagation Errors: Error: 2.5 m in the zenith direction to 10-15 m at low satellite elevation angles.
  • The Multipath Problem: Dominant source of error in differential positioning. E.g. “Bouncing of buildings”
  • Ephemeris Data Errors: Error <1m. Removed with DGPS
  • Onboard Clock Errors: Error <1m. Removed with DGPS
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Explain Ionospheric Propagation Errors

A

Ionospheric Propagation Errors: Wave propagation. Error:1 m at night to 5-15 m daytime

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Explain Tropospheric Propagation Errors

A

Tropospheric Propagation Errors: Error: 2.5 m in the zenith direction to 10-15 m at low satellite elevation angles.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Explain The Multipath Problem

A

The Multipath Problem: Dominant source of error in differential positioning. E.g. “Bouncing of buildings”

  • GPS signals bounce of e.g. buildings
  • Create false (typically larger) distance information, and consequently incorrect positioning
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Explain Ephemeris Data Errors

A

Ephemeris Data Errors: Error <1m. Removed with DGPS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Explain Onboard Clock Errors

A

Onboard Clock Errors: Error <1m. Removed with DGPS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Explain GPS – Dilution of Precision

A

GPS – Dilution of Precision

  • A measure of error due to satellite configuration
    • Configuration of the satellites in the sky (if same direction – not easy to do good triangulation)
  • Different Dilution of Precision:
    • VDOP – Vertical Dilution of Precision
    • HDOP – Horizontal Dilution of Precision
  • Example: – Good when <4
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Side track – What is a communication protocol?

A
17
Q

Explain GPS protocol: NMEA messages

A

GPS protocol: NMEA messages

  • National Marine Electronics Association
  • Standard 4800bits/s over RS-232
  • Build-up:
    • Starts with ‘$‘, ends with a CR/LF
    • Maximum 80 characters
    • Single line with data items separated by commas
    • Data in ASCII text
18
Q

Explain Map projections

A

Map projections

  • WGS84 – “Standard” worldwide longitude/latitude
    • Pole-flattened (oblate) spheroid
      • a = 6,378,137 m
      • b = 6,356,752m
  • Center in middle of earth
    • Not very easy to convert to meters “on paper”
  • RT90
    • Rikets Triangelnät (Sverige)
    • SWEREF 99.
    • In meters
      • X increases to north
      • Y increases to east
    • Example (Göteborg):
      • X=6404510
      • Y=1271140
19
Q

Explain Differential GPS

A

Differential GPS

  • Uses relative positioning
    • “Local” (own?)
    • By provider
  • Somewhat expensive
  • Significant error reduction
  • Sub-meter precision
  • Network RealTime Kinematic (RTK)
    • Builds model
    • Interpolates between stations
    • Expensive (e.g. 500kSEK)
    • Two way communication
20
Q

Explain Map Matching

A

Map Matching

  • Finding the “correct” road from positioning information and extract attributes
  • Attribute examples:
    • Road type
    • Speed limit
    • Number of lanes
    • Distance to intersection
21
Q

Explain Electronic horizon

A

Electronic horizon

  • Building a local model of the future path of the vehicle
  • Often uses map attributes fused with invehicle sensors
22
Q

Explain Autonomous vehicle “mapping” using Google

A

Autonomous vehicle “mapping” Example: Google

  • Use LIDAR to “map” roads
  • Only mapped roads are used
  • Two mapping passes, the second for verification
  • Position accuracy ~2.5cm
23
Q

Explain SLAM

A

SLAM - Simultaneous localization and mapping

  • Building a map of the surrounding while keeping track of where the ”agent” is in the map.
  • (Electronic horizon = sort-of SLAM)
24
Q

Give example of other positiong than GPS

A

Other positioning: Cell phone

25
Q

Is GPS good enough for active safety?

A

No.

  • Positioning crucial for many applications
  • Anyone can interface with a GPS, but GPS typically not good enough for active safety applications – but a complement
  • Map matching and SLAM important
26
Q
A
27
Q
A