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Snowflake
Snowflake
It is realized by ThunderSoft’s AI motion capture
technology, and it is the first collective and
real-time capture andinteraction of more
than 600 persons on a giant venue in the world.
Focusing on intelligent driving
Focusing on intelligent driving
ThunderSoft and Horizon established a joint venture company,
Jointly accelerate the mass production of intelligent driving
Multi-faceted Screens Multi-domain Integration
ThunderSoft launched E-Cockpit 6.0
Smart cockpit software platform
Success Stories
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ThunderSoft Holographic Intersection Solution provides a foundation for digitizing the transportation industry. The solution gathers high-precision, low-latency traffic information in real-time and basic infrastructure data through roadside sensors and computing devices and works with a cloud control platform to improve traffic efficiency and safety. It works in dynamic time assignment of traffic lights, dynamic lanes, regional traffic optimization, and accident handling applications.

System Architecture

The overall architecture includes three ends: vehicle, road, and cloud. Road realizes the perception and fusion of traffic information based on roadside sensors and edge calculation, and it communicates with vehicles through RSU and vehicular OBU to send and receive road information. Road and cloud are mainly cloud-controlled platforms and interact with traffic detection data through ethernet. Based on the intersection’s holographic data, can realize scenarios including digital twin intersections, data services, and other V2X scenarios.

Finally, it can verify and evaluate through an integrated perception and evaluation system can.

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食堂后厨
Holographic Intersection Scenario Algorithms
Type
Algorithms
Perception Algorithms
 

• Traffic Object Recognition

Output types:

Target Types: Support the detection of four types of vehicles: car, buggy, truck, and bus; two non-motorized vehicles: motorcycle (electric bikes) and bicycles; pedestrians
▫ Size of traffic objects (length, width, height)  ▫ Location (longitude, latitude, WGS-84 coordinates)  ▫ Speed  ▫ Heading angle
Fusion Algorithms
• Millimeter wave radar fusion   • Lidar fusion
Traffic Flow Detection Algorithms

• Vehicle queue length detection

• Vehicles’ average speed detection

• Headway spacing detection

• Total traffic volume detection

• Lane-level traffic volume detection

• Lane time occupancy detection

• Average headway visual distance detection

• Lane spatial occupancy detection

• Average distance between vehicles detection

Traffic Incident Detection Algorithms
• Pedestrian intrusion  • Abnormal parking  • Wrong way  • Illegal lane change  • Lane congestion  • Objects falling from vehicles
Highlights

Provide a dynamic traffic view of an intersection from a god-view perspective

High accuracy perception and positioning (maximum positioning error < 30cm), served as a crucial support for vehicle which can receive the data from the roadside

Ultra-low latency perception output (visual perception latency < 90ms), supporting low latency road scenarios

Provides open data interface APIs to promote industry development

Solution Deployment
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