Journal of Advanced Transportation / 2019 / Article / Tab 1

Research Article

The Negative Impact of Vehicular Intelligence on Energy Consumption

Table 1

The parameters of intelligent vehicle’s technology components. (Pri.= primary intelligent vehicle. Int. = Intermediate intelligent vehicle. Adv. = advanced intelligent vehicle. ‘-’ means that data is not available.)

Technology ComponentsNumber Average Power Average quality Source

PerceptionCamera6792.53120.040.270.5FLIR Blackfly, Chameleon3, ORYX
Millimeter wave radar (middle distance)48104. SRR510, SRR520
Millimeter wave radar (long distance)1246. ARS441, ARSS510
LiDAR (32 lines)57812. HDL-32E, VLP-32C, Quanergy M8, RoboSense RS-LiDAR-32.
LiDAR (64 lines)01160606013.613.613.6Velodyne HDL-64E
Ultrasonic radar12800. Ultrasonic
GNSS positioning and inertial navigation1113. SPAN-IGM-A1, S1, PwrPak7D-E1
DecisionComputing platform2222505006005.15.15.1Nvidia Drive PX2, Nvidia Drive Pegasus
V2XV2X chip1116662.652.652.65Cohda MK5
MIMO RF module41618111---NXP A2G22S251-01S
Gateway111363636---Flairmicro TCU 4.0, NXP MPC5748G
HMIDisplay1112060802.57.51015∖32∖40 inch LCD display
Head up display1114.8820---Wiiyii A8 HUD, Navsoso H3, Carrobot
Attention retention system111242424---Audi handoff
Fingerprint recognition2450.70.70.7---Zhiantec AS601, ZFM-800SA
Face recognition2562.252.252.25---MD-T150
Gesture recognition144222---Leap Motion
Eye movement recognition1441.51.51.5---Tobii EyeMobile Plus
Near field communication133222---NXP cNCx3320
Wireless charger13351015---NXP MWCT1013AVLH

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