Smart LiDAR

Designed for modern traffic management 

• Reliable 3D detection: Detect and track vehicles and other road users within the configured area. 
• One coherent traffic scene: Fuse both sensor views to reduce com plexity and deliver structured object information. 
• Edge-based operation: Process data locally for low latency and reduced dependence on external connectivity. 
• Flexible deployment: Configure de tection zones and adapt the solution to the geometry and objectives of the site

From sensor data to actionable insight

1. Capture: Two LiDAR sensors continuously capture the 3D traffic environment.
2. Process: The NVIDIA edge platform processes the sensor data locally
3. Fuse: Smart Fusion detects, classifies and tracks traffic objects.
4. Connect: Object coordinates and speed can be delivered directly to Smart-AI.

Turn 3D perception into smarter traffic decisions 

Beyond traffic control, Smart-LiDAR also provides valuable insight into intersection safety, helping identify conflict areas and potentially dangerous traffic patterns before they result in accidents.

• Object classification: Classification of 11 road user and vehicle types.
• Red-light running: Detection of vehicles entering on red.
• Near-miss analysis: Identification and analysis of critical interactions.
• Traffic performance: Presence, counting, trajectories and queue information.

Smart-LiDAR in combination with Smart-AI

Together, Smart-LiDAR + Smart-AI take the next step beyond conventional detection. Smart-LiDAR gives the intersection the ability to see, classify and understand what is happening in 3D, while Smart-AI uses this information to continuously optimize traffic control.

Proven across markets worldwide

More than 30 systems installed in Denmark, Finland, Iceland, Norway and Sweden - with further deployments being prepared internationally.

Our integrated solution Smart LiDAR

• Dual LiDAR sensing Two sensors cover a typical intersection and capture the complete 3D traffic scene.
• NVIDIA edge processing Point-cloud data is processed locally in real time on the NVIDIA edge platform.
• Smart fusion Objects are detected, classified and tracked with coordinates, direction and speed.
• Smart AI Advanced detection data is delivered directly to Smart AI for adaptive traffic control.

Smart-LiDAR enables:

• Real-time 3D modelling of the entire intersection
• Up to 300 m detection range with a 120° field of view
• Detection and tracking of vehicles, cyclists and pedestrians
• AI-based classification of detected objects by road-user type
• Real-time measurement of object speed
• Precise trajectories, turning movements and traffic flows
• Detection of red-light runners and near misses
• Heatmaps identifying where near misses and potential conflicts occur
• Independent of ambient or street lighting conditions – day and night
• AI-based perception processed locally on the Smart-Fusion edge CPU
• High-quality real-time input for traffic control and Smart-AI
• No dependency on cloud processing for real-time operation

From dual-sensor perception to structured traffic intelligence.

System architecture

Object classification

Smart fusion supports classification of 11 road-user and vehicle types. The class structure below is preliminary and will be refined in a later product update.

1. Pedestrian
2. Bicycle
3. Motorcycle
4. Car
5. Car with trailer 
6. Van 
7. Minibus 
8. Bus 
9. Truck
10. Truck with trailer 
11. Heavy vehicle

LiDAR specifications / per sensor

Edge computer specifications / 8 gb version

• Red-light running: Detection of vehicles entering or crossing the configured stop line zone during a red signal.
• Near-miss detection: Identification of critical interactions and potential conflicts between tracked road users.
• Queue information: Measurement of queue formation and development within configured detection areas.
• Presence & counting: Lane-level presence, counting and movement information.
• Trajectories: Continuous tracking of object position,direction and movement through the scene.
• Pedestrian movement: Detection of pedestrian presence and direction of movement.