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AWU401 32 TOPS intelligent passenger car, unmanned sanitation vehicle AI computing power car driving computing platform

Product details
SOC:Jetson AGX XavierPackaging Preview:
Warranty:1 yearSupply capacity:1000 sets per month
Storage:32GB e.MMC 5.1adapter:include
Auto Parts:TeslaModel:Model3,Model Y RWD Long Range,MODEL S,modelx,MODEL Y (5YJY),Model X,Model Y AWD Long Range,Model Y AWD Performance,Model 3 Performance,Model 3 (5YJ3)
AI power:32 topyear:2012-2013, 2015-2016, 2017-2019, 2021-, 2014-2016, 2017-2019, 2016-2019, 2021-, 2017-2019, 2015-2016, 2021-, 2020-, 2013-2016, 2019-- ,2019-,2019-
place of origin; place of origin:carve upDeep Learning Accelerator:2pcs NVDLA engine
memory:32GB 256-bit LPDDR4Packaging Details:carton, one piece
Vision Accelerator:7-Wire VLIW Vision ProcessorGraphics card:512-core GPU and 64 Tensor Cores 11 TFLOPS (FP16) , 22 TOPS (INT8)
port:Shenzhen, ChinaCPU:8-core Carmel ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
payment terms:letter of credit, wire transferbrand:Kuku
model:AWU401-A01-S00-V1MCU:MPC5746R, ASIL-D; S32K144, ASIL-B
Product Description
AWU401-A01 is an autonomous driving computing platform based on NVIDIA Jetson AGX Xavier module, equipped with NXP MPC5746R Safety MCU and NXP S32K144 MCU. The AGX module is responsible for camera and lidar data processing. Combined with millimeter-wave radar, ultrasonic radar, inertial navigation + high-precision positioning (GNSS/IMU) and other data, it can realize the environmental perception and decision-making layer of autonomous driving. The security MCU is responsible for the wire-controlled interaction of the execution layer, and the S32K144 is responsible for the ultrasonic radar data processing. It can realize all levels of autonomous driving functions and is suitable for customized modification of autonomous vehicles. Application scenarios: intelligent passenger vehicles, unmanned sanitation vehicles, unmanned mining vehicles, unmanned ferries, scientific research and teaching.
Specification
thing
describe
SOC
NVIDIA Jetson AGX Xavier
MCU
NXP MPC5746R, ASIL-D; NXP S32K144, ASIL-B
AI power
32 top
graphics processor
512-core Volta GPU with 64 Tensor Cores 11 TFLOPS (FP16), 22 TOPS (INT8)
CPU
8-core Carmel ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
memory
32GB 256-bit LPDDR4
storage
32GB e.MMC 5.1
Vision Accelerator
7-Wire VLIW Vision Processor
Deep Learning Accelerator
2pcs NVDLA engine
video encoding
2x1000MP/sec, 4x 4K @ 60 (HEVC), 8x 4K @ 30 (HEVC), 16x 1080p @ 60 (HEVC), 32x 1080p @ 30 (HEVC)
video decoding
2x1500MP/sec, 2x 8K @ 30 (HEVC), 6x 4K @ 60 (HEVC), 12x 4K @ 30 (HEVC), 26x 1080p @ 60 (HEVC), 52x 1080p @ 30 (HEVC), 30x 1080p @
30 (H.264)
operating system
Ubuntu 18.04
Name
describe
GMSL
8-wire coaxial digital camera FAKRA input interface
were able
9-wire, high-speed CAN, compatible with CANFD
RS232
2-wire communication, 1-wire bidirectional and 1-wire unidirectional
USB
2-line USB 3.1, 1-line Type-A, 1-line Type-C (for programming)
Ethernet
6-wire 100BASE-T, 4-wire HSD, 1-wire RJ45, 1-wire Automotive Ethernet
input Output
4-wire voltage 0~16V, 2-wire 12V GPI, 2-wire 12V GPO
Forest
2 wires
Ultrasonic radar
12-wire 12V I/O
power input
3-wire 12V 2.8A, 1-wire 12V 1A, 2-wire 12V 0.2A
FPD-Link
1 line 1080P 60fps
HDMI
1 line HDMI 2.0, TYPE-A
storage expansion
1-wire, M2.M SSD
restore button
1 piece for development and debugging
index
166, power status indicator and operating status indicator
Name
describe
Voltage
Rated input DC 12V
energy consumption
≤32W
Operating temperature
-20°C~+70°C
intellectual property
(IP43)
size
249*172*76mm (L*W*H)
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