Hesai Pandar128

Le Hesai Pandar128 is a flagship, automotive-grade mechanical LiDAR sensor designed specifically for L4 and L5 autonomous driving applications. It is widely regarded as one of the most advanced 128-channel sensors on the market, offering a “near-photographic” point cloud that allows for high-speed object detection and classification.

28.650,50  Hors TVA (28.650,50  TVA incluse)

Disponible en précommande

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Caractéristiques principales

  • Image-Like Resolution: With 128 laser channels and a vertical resolution as fine as 0.125°, it creates a dense point cloud that can clearly distinguish between pedestrians, cyclists, and small road debris at long distances.

  • Long-Range Capability: It can detect objects with low reflectivity (10%) at distances up to 200 mètres, providing vehicles with the necessary reaction time for high-speed highway driving.

  • Interference Rejection: Hesai uses proprietary “fingerprinting” technology for every pulse, ensuring the sensor isn’t “blinded” or confused by other LiDAR units in heavy traffic or by strong ambient sunlight.

  • Cybersecurity & Safety: It was the first LiDAR to obtain ISO/SAE 21434 cybersecurity certification, featuring encrypted data transmission to prevent tampering or spoofing.

  • Conception robuste : Built for mass production, it is rated IP6K7 and IP6K9K, making it resistant to high-pressure water jets, dust, and extreme temperatures (-40º C à 85º C).

     

Spécifications techniques

Paramètre Spécification
Chaînes 128
Plage de détection 0.3 m to 200 m (at 10% reflectivity)
Précision de la portée +-2 cm (typical)
Field of View (Horizontal) 360º
Field of View (Vertical) 40º (-25º à +15º)
Angular Resolution (H) 0.1º (at 10 Hz) / 0.2º (at 20 Hz)
Angular Resolution (V) 0.125º (center) to (periphery)
Taux de points 3.45 Million pts/sec (Single) / 6.91 Million pts/sec (Dual)
Consommation d'énergie 27 W (High-resolution mode)
Poids ~1.63 kg

 

Applications principales

  1. Robotaxis & Autonomous Shuttles: Provides the high-density environmental mapping required for driverless urban navigation.

  2. Autonomous Trucking: The long-range capability is essential for heavy trucks that require longer braking distances.

  3. HD Mapping: Used for high-precision 3D mapping of cities and infrastructure.

  4. Smart Cities: Monitoring traffic flow and pedestrian safety at complex intersections.

Poids 2,5 kg

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