.Imaging Radar - .The One Sensor To Rule Them All.autonomoustechtlv.com/Portals/90/Amit.pdf1...
Transcript of .Imaging Radar - .The One Sensor To Rule Them All.autonomoustechtlv.com/Portals/90/Amit.pdf1...
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.Imaging Radar - .The One Sensor To Rule Them All.
.Imaging Radar - .The One Sensor To Rule Them All. Amit Benjamin, Texas Instruments
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Agenda
Radar in Automotive Today - What is Missing?
Camera Vs Lidar Vs Radar - Strength & Weakness
Which Sensors in Which AV Level?
Imaging Sensor - Why is it a Game Changer?
Imaging Radar Use Case Analysis - Step Function in Radar performance
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Radar in Automotive
Determine object range
Determine object (relative) velocity
Determine object azimuth & elevation angle
Object discrimination (multi-target capability)
Object classification (shape, size)
Robust against environmental conditions such as bad light & weather
3
1
2
R1
R2
Vrel_1
Vrel_2
az
el
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Sounds Simple – But Something doesn’t work Right
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Sounds Simple – But Something is missing
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LiDAR vs Camera vs RADAR
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LiDAR vs Camera vs RADAR
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LiDAR vs Camera vs RADAR
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LiDAR vs Camera vs RADAR
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LiDAR vs Camera vs RADAR Industry is
working on size
reduction and
cost down
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ACC
Rear View Camera & Surround View
& Blindspot
& Stereo Front Camera & LIDAR Level 5 system!
Does all Sensors are needed for level 2 & 3 ? For 4 & 5?
Level 2 & 3? Level 4 & 5?
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Does all Sensors are needed for level 2 & 3 ? For 4 & 5?
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TI Confidential – NDA Restrictions
Radar &
Camera
sensors
Does all Sensors are needed for level 2 & 3 ? For 4 & 5?
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Why Imaging Radar is a Game Changer?
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Imaging Radar – First RF CMOS Cascade solution
• Pedestrian detection at > 140m • Car detection at > 350m • Azimuth / Elevation* angular resolution < 1°
The four devices are synchronized and work as a single unit, coherently processing data from all the antennas
* Might require Super Resolution
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Why Cascading?
BeamForming
Multiple TX antennas transmit simultaneously & coherently to create a focused beam.
Phase shifts across TX antennas can steer the beam in a desired direction
Coherent gain across the NTX antennas improves SNR (20log10(NTX) vs. 10log10(NTX) in MIMO)
Maximum detection range - 350m Vs 120m with single chip
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𝑆𝑁𝑅𝑇𝑋_𝐵𝐹 ∝ 𝑁𝑇𝑋2
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MiMo - Angle resolution (θres) is the minimum angle separation for two objects to appear as separate peaks in the angle-FFT.
Improving angle resolution
A 2 TX / 4 RX can achieve a theoretical angle resolution of only 15o
TI imaging Radar with 192 virtual channels (four chip cascade) can achieve down to 0.6 degree of Azimuth and Elevation* Angle resolution
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𝜃res =2
𝑁𝑇𝑋𝑁𝑅𝑋
Why Cascading?
* Might required Super Resolution
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“…radar system is programmed to ignore high-mounted objects such as road signs and, possibly, the flanks of a semi truck, to avoid undesired braking events…”
Why Imaging Radar is a Game Changer? Overhead bridges/tunnels
el
static truck stalled under a bridge
el = 1.4⁰ = arctan(1m/40m)
40m
1m
Today: Typical 5⁰* Angle Resolution Front Radar
Tan(5⁰ ) = X/40 X = 3.5meter
Imaging Radar < 1⁰ both Azimuth & Elevation
The Radar Sensor will become the primary sensor in the car
* Might required Super Resolution
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Summary - Why Imaging Radar is a Game Changer?
1m
With Imaging Radar we are able to:
Improve the Angle Resolution by a factor
of ~ 𝑁𝑇𝑋𝑁𝑅𝑋
Improves SNR (20log10(NTX) vs.
10log10(NTX) in MIMO) to significantly
increase the range
Significantly improve AV level 2 & 3 system
cost by potentially Eliminate few of the sensor
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Summary - Why Imaging Radar is a Game Changer?
1m
With Imaging Radar we are able to:
Improve the Angle Resolution by a factor
of ~ 𝑁𝑇𝑋𝑁𝑅𝑋
Improves SNR (20log10(NTX) vs.
10log10(NTX) in MIMO) to significantly
increase the range
Significantly improve AV level 2 & 3 system
cost by potentially Eliminate few of the sensor
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Questions? Thank You