Autonomous Driving Concept Stocks Watch | RoboSense (02498.HK) Q3 LiDAR Shipments Surge 220.9% YoY; 16 Chinese Automakers Set New Participation Record at Paris Motor Show

On October 13, 2026, RoboSense (02498.HK) traded weaker. As of 13:55, it was quoted at HK$15.60, down 3.23%.
Key Highlights:
  • RoboSense released its LiDAR shipment data for Q3 2026. Total LiDAR shipments reached 595,600 units in the third quarter, rising 220.9% year-on-year.
  • RoboSense(02498.HK) Focuses on the scaled mass production and delivery of LiDAR and core perception solutions for the autonomous driving perception layer.

NewTimeSpace News: On October 13, 2026, RoboSense (02498.HK) traded weaker. As of 13:55, it was quoted at HK$15.60, down 3.23%.

On October 9, RoboSense released its LiDAR shipment data for Q3 2026. Total LiDAR shipments reached 595,600 units in the third quarter, rising 220.9% year-on-year and 53.1% quarter-on-quarter. Among the total, shipments for ADAS hit 450,400 units, representing a 200.1% year-on-year increase.

According to Xinhua News Agency, the 2026 Paris International Motor Show opened on October 12 at Paris Porte de Versailles Exhibition Centre in France. The week-long event draws over 100 exhibitors worldwide. Chinese automakers hit a new record in exhibition scale. A total of 16 Chinese carmakers brought 25 brands to the show, including Leapmotor, BYD, XPeng, Geely, Dongfeng and GAC. Multiple new models made their European debut, showcasing innovative achievements in power batteries, ultra-fast charging, intelligent driving and artificial intelligence.

RoboSense(02498.HK) Focuses on the scaled mass production and delivery of LiDAR and core perception solutions for the autonomous driving perception layer. As a leading tier-1 supplier in the intelligent driving hardware supply chain, it has secured massive design wins across a wide range of models from global mainstream automakers and new energy vehicle (NEV) startups. The company maintains industry-leading growth in single-quarter automotive LiDAR shipments. Through process optimization and economies of scale, it continuously drives down per-unit hardware costs, solidifying its market share in the core perception infrastructure for autonomous driving.

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