Vehicle operating system
The China Association of Automobile Manufacturers awarded the company the "2021 China Automobile Supply Chain Excellent Innovation Achievement"
Comprehensive customization based on international standards, as well as
concurrent creation of MOS, CP, and CAP products
A complete toolchain includes design, configuration, development, and
deployment functions
MOS product has passed ASILD certification, the highest function safety
certification of ISO26262
MOS and CAP-AD products have passed ASPICE CL3 certification
Smart cockpit technology base
Standard version platform for cockpit area control
Low latency
Built-in R core and VDSP engine, which support fast start
Multi-scheme
Support virtualization and hard isolation
High coupling
P2P compatibility of upgraded chip and standard version
High standard
Meet the vehicle grade test standard
High safety
Independent safety island and high-level function safety
High level version platform for cockpit area control
Large hash rate
CPU: 93K, NPU:8T
Multi-interface
Support 1-machine and 6-screens output, 12-camera input
Low power consumption
6nm, which reduces lower consumption by 18% than 7nm
Low cost
Integrated 5G baseband, with a low system cost; smartphone chip modification,
which contributes to a lower cost
High standard
Chipset meets the AEC-Q100 vehicle grade test standard; module meets AEC-Q104
Core technology platform
Software platform
Layered decoupling, platform reuse, differential
configuration, continuous evolution, and rapid realization
AI platform
Facial features, gesture features, and fusion perception
Product/Design platform
User research, scenario definition, and design innovation
AI engine & vision solutions
Visual perception algorithm
AI engine
The front-view algorithm may be able to meet the requirements for mass
production
Front-view and surround-view sensing algorithms developed in-house could
achieve end-to-end output via a two-stage convolutional neural network model (NNM), meeting
the sensing requirements of ADAS, HWP, and AVP
Self-developed AI engine covers four platforms
The self-developed AI engine has four platforms: data collecting,
annotation, model training, and algorithm assessment, and it supports 15 annotation tools,
including 2D and 3D annotation
Wider range of application
Create a traffic scene database with Chinese characteristics, and support
full scenario coverage
Wider range of goals
The self-developed NN algorithm can detect 8+ objects, recognize 6 types
of secondary attributes and perform 16+ semantic segmentations
Improved perception
Average recognition rate is>98%, and separation MIoU is>90% under standard
conditions
Intelligent Vehicle Cyber Range
First intelligent vehicle cyber range of automotive industry in china
Undertake cyber security test projects of leading enterprises in the
automobile industry, and provide testing and verification services for parts、vehicle、and
network applications, and event services.
Services of "I-VCR Intelligent Vehicle Information Security Evaluation
Index"
Provide unified intelligent networking vehicle cyber security evaluation
services
Automotive SiC power module
Higher operating voltage
VDSS=1,200V, which can better meet the
needs of an 800V automotive voltage platform
Higher operating frequency
Fop≥20KHz, reducing the volume of
peripheral components and contributing to a compact structure, and lower costs
Tj175℃ at maximum
-40℃~175℃, which could reduce heatsink volume and dissipation cost
Lower power loss
RDS(on)<2.5mΩ, which could improve
energy efficiency and cruising range
Intelligent driving system
Leading performance
The sensing algorithm has a 97% accuracy/recall rate, the lateral and
longitudinal control precision of parking and driving is less than 10cm, and the fusion
positioning accuracy is less than 10cm
High-efficiency multiplex
Self-developed unified platform algorithm software architecture that
enables multiplex and is equipped with many platforms and processing units with strong
customization ability
Various scenarios
Unmanned tasks covering points A-B in cities and high-speed scenarios, as
well as autonomous parking tasks in parking lots; support collaborative sensing and
regulation technologies; and can achieve application in restricted spaces such as mines and
logistics
Iterative intelligence
To improve algorithm development efficiency, we implement closed-loop
features such as scene-to-map and twin modeling, scene-to-virtual simulation, acquisition
and annotation training, iterative toolchain, etc.
V2X protocol stack and 5G V-Box vehicle-mounted intelligent terminal
Passed the conformance test of the China Academy of Information and Communications Technology
The V2X "Four Spans" (H.S.X) pilot application certification
And the 2022 IoV C-V2X Security
Verification Certification
V2X Protocol stack
Cover all national standard DAYI and DAYII application scenarios, and
support scene fusion of V2X, L3/L4 intelligent driving system, and intelligent cockpit
system
Loose coupling, easy adaptation, and interface expansion; enable the rapid
development of bespoke application scenarios
It may ensure packet loss rate and delay can meet communication needs
under large-scale scenarios using a multi-thread + queue cache method
Support for quick module deployment, as well as demand-based ordering and
use of various modules
5G V-Box vehicle intelligent terminal
The main chipset is entirely homemade, allowing for V2X, T-BOX, and
central gateway integration
Cutting into modules facilitate integration into the cockpit or the
central computing domain controller, allowing for rapid customized development.
Intelligent transportation solution for vehicle-road-cloud integration
Intelligent road building
Create intelligent roadways that match various scenarios by providing
point-level surveys and tailored designs
Construction of the checheng.com platform
Create three sectors: "cloud driving application platform, traffic
management platform, and urban management platform" to fully integrate smart city,
intelligent transportation, and intelligent networking vehicle
New network construction
Create a network that meets autonomous driving and city car application
needs, and achieves full 5G coverage throughout the region
Build application scenarios
Carry out customized, large-scale, and sustainable unmanned minibus and
Robo-taxi operating modes, provide intelligent travel experiences with high S & T
connotation, and enable urban travel services
Formulation of measures and codes
Formulate intelligent networking vehicle-related policies and regulations,
and help establish and research local road traffic management laws and regulationss
4D-mm wave radar
4D forward mm-wave radar
4D angular mm-wave radar
Wide detection range
4D front radar: Ranging range 0.5m~ 260m, azimuth -60°~+60°, angle of
elevation -12°~+12°
4D angle radar: Ranging range 0.25m~120m, azimuth -75°~+75°, angle of elevation -15°~+15°
4D angle radar: Ranging range 0.25m~120m, azimuth -75°~+75°, angle of elevation -15°~+15°
High sensing accuracy
4D front radar: Ranging accuracy ±0.12m, speed measurement accuracy
±0.1m/s, angle measurement accuracy ±0.3°
4D angle radar: Ranging accuracy ±0.13m, speed measurement accuracy ±0.1m/s, angle measurement accuracy ±0.3°
4D angle radar: Ranging accuracy ±0.13m, speed measurement accuracy ±0.1m/s, angle measurement accuracy ±0.3°
Strong perception abilityStrong perception ability
4D front radar: Range resolution 0.24m, velocity resolution 0.13m/s, angle
resolution 2.5°
4D angle radar: Range resolution 0.25m, velocity resolution 0.13m/s, angle resolution 2.5°
4D angle radar: Range resolution 0.25m, velocity resolution 0.13m/s, angle resolution 2.5°
Multiple outputs
Support two output modes: track and point cloud; a maximum output of 64
track targets and 256-point clouds
Multi-target detection
tracking
Point cloud
Prefusion
perception
Omni-bearing
detection
Centimeter-level
accuracy
Application in different
scenarios
All-weather
application
Light
weight
Vehicle intrusion detection and prevention system
ICCE and AUTOSEMO awarded this case the "2022 AUTOSEMO Innovative Product Excellent Case" designation
Microservices and high concurrency (VSOC Vehicle Security Operations Center)
Leading lightweight system architecture design, million-level concurrency,
elastic extension, and vehicle operation management that allows attack event situation
display, big data analysis, and automated rule orchestration
Self-adaptive and high-performance (CIDS intrusion detection)
Self-adaptive AUTOSAR; automatic rule generation support, and realize
vehicle control intrusion detection of function safety linkage
Full coverage and vehicle grade (HIDPS+NIDPS)
High reliability, lightweight, and multiple safety designs; meet cockpit
and autopilot real-time protection needs in complex scenarios
Compliant, accurate, and fast (DS data sentinel)
Accurate compliance detection; support extension of detection rules; meet
cockpit and autopilot data security and compliance requirements
Basic platform for dynamic high-precision map
Create a national-level basic platform for intelligent driving vehicles with
dynamic high-precision mapping
T3 share of Dongfeng Motor, China Automotive Innovation Corporation,
Nanjing LingHang Technology Co., Ltd. (T3 travel)
Create a Level 10 million intelligent driving automobile dynamic sensor data
ecosystem
Collect millions of passenger vehicle dynamic sensor data, millions of
commercial vehicle dynamic sensor data, and millions of travel service vehicle dynamic
sensor data
Dynamic, automated, high-precision map toolchain with entirely independent
IPRs
Vastness · Data annotation and algorithm development platform, Sailing ·
data aggregation and processing platform, Voyage · map construction and dynamic update
platform, Leading · map compilation and service release platform
Ensure the safety and compliance of intelligent driving vehicle dynamic data
over the whole life cycle
Support relevant authorities's safety oversight, as well as the safety and
compliance of national geographic information and personal private information
Total factor and full scenario-based dynamic high-precision map service
High-precision maps with absolute accuracy of 20 cm, complete scenarios of
expressways, regular roads, and parking lots, as well as road, lane, and object models with
100+ elements
Intelligent networking cloud control platform
Vehicle To Infrastructure Connectivity
Connect and gather the vehicle and road-end equipment operation
data to accelerate the development of autonomous driving and IVIC vehicles
data to accelerate the development of autonomous driving and IVIC vehicles
Vehicle Management
Support the operation and management of autonomous driving vehicles
hydrogen-powered vehicles, and vehicle-road system vehicles
hydrogen-powered vehicles, and vehicle-road system vehicles
Demonstration Zone Operation
Create a typical twin mapping scenario in the demonstration zone and empower the monitoring
and command center of intelligent park by using technologies such as high-precision maps
artificial intelligence (AI), big data, etc.
and command center of intelligent park by using technologies such as high-precision maps
artificial intelligence (AI), big data, etc.
Flexible And Scalable
Flexible system deployment
support for the expansion of various vehicle types,
roadside equipment, and third-party platforms
support for the expansion of various vehicle types,
roadside equipment, and third-party platforms
Data service, privacy security circulation, and identification resolution node
