Its Driver production-ready vision-only autonomous driving system delivers complex city-driving capabilities with orders-of-magnitude reduction in data requirements to power advanced SAE Level 2+ functionality and serve as the software brain for the transition to Level 3 and Level 4 autonomy.
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Said to dramatically outperform legacy radar and lidar, the company’s first Summit sensor, shown at CES 2026, provides reliable, high-quality data to ADAS and autonomy systems to prevent up to 150,000 road deaths each year by reducing weather- and visibility-related crashes.
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The complete safety package is engineered to upgrade road safety for drivers of existing buses, trucks, and other commercial fleet vehicles navigating complex urban driving environments, and it is already on the roads of South Korea with Korea Wide’s express, intercity, and city buses.
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At CES 2026, the company said its annual production capacity will reach over 4 million units in 2026, driven by accelerating demand for automotive ADAS and robotics and enabled by what it claims is the world’s first fully developed in-house digital single-photon platform.
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Helping automakers bring higher levels of autonomy to their entire fleet are a scalable high-performance compute SoC, a single-chip, eight-by-eight 4D imaging radar transceiver, and a new Ethernet networking physical layer device.
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The demonstrations in Las Vegas this week include the Panovision head-up display with an adaptive warning system, a Safe InSight demonstration vehicle with a multi-layer approach to driver and interior monitoring, and SmartCluster helmet detection for two-wheelers.
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The BASF subsidiary will show a new automotive-grade wide-field-of-view dot projector enabling vital-sign monitoring of both front-seat occupants with a single module and a noninvasive touch blood alcohol measurement system developed with Aumovio.
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Backed by $150 million in Series B funding, Teradar is collaborating with leading OEMs and Tier-1 suppliers to develop a sensor that provides long-range, high-resolution, “all-weather” vision aimed at replacing radar and lidar as part of next-generation safety systems in new vehicle production programs.
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Their MOU aims to combine expertise in radar platforms, AI-based sensor fusion, and large-scale automotive datasets to co-develop an embedded solution that enhances the performance of “one of the most critical sensors” for autonomous driving and advanced driver assistance systems.
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The strategic collaboration leverages Aeva’s perception technology with LG Innotek’s global scale to accelerate the scaled deployment of 4D lidar in new markets, including consumer devices, robotics, and industrial automation, after recent wins in the automotive and truck space.
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