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Ouster vs. Luminar: Which LiDAR Powerhouse is a Safer Long-Term Play?
ZACKS· 2025-07-16 18:36
Key Takeaways OUST projects 30-50% annual revenue growth, aided by software-attached deals and new chip launches. LAZR cuts debt from $625M to $185M and expects over $100M in cost savings through scaled production. OUST trades at 8.45x sales, above its 3-year median, while LAZR trades at 1.34x, below its historical median.LiDAR technology holds strong long-term potential in the automotive sector, with initial adoption focused on premium vehicles and robotaxis. Its rising popularity is driven by its abilit ...
Microchip Partners with Nippon Chemi-Con and NetVision on First ASA-ML Camera Development Ecosystem for Japanese Automotive Market
Globenewswire· 2025-07-02 12:01
Core Insights - The automotive industry is transitioning to the open and interoperable Automotive Serdes Alliance Motion Link (ASA-ML) standard, driven by over 150 member companies globally [1][2] - Microchip Technology has partnered with Nippon Chemi-Con and NetVision to deliver the first ASA-ML camera-development platform for Japanese OEMs, enhancing the adoption of Advanced Driver-Assistance Systems (ADAS) [1][2] - The collaboration aims to provide scalable high-speed asymmetric data rates and hardware-based link-layer security to meet emerging automotive cybersecurity regulations [1][2] Company Developments - Microchip's VS775S single-port serializer/deserializer is central to the new ASA-ML camera module and development tools, facilitating the creation of an ecosystem-ready camera module for the Japanese automotive market [3] - Nippon Chemi-Con's CDTrans camera module and NetVision's NV061 development emulation board are both based on the VS775S, showcasing the industry's commitment to a standardized ASA-ML solution [2] - The partnership is expected to accelerate ASA-ML adoption for next-generation ADAS camera systems in Japan's evolving Software-Defined Vehicle (SDV) landscape [2][3] Industry Trends - There is a growing demand for multi-vendor solutions to manage supply-chain risks in the automotive industry, particularly for L2 and L2+ autonomous-level applications that require more cameras and sensors [4] - The need for scalable, architecturally flexible, interoperable, and high-bandwidth connectivity solutions is increasing, as the industry moves away from closed, single-vendor ecosystems [5] - Major automotive industry players, including BMW, Ford, and GM, are involved in promoting ASA-ML adoption, representing a comprehensive automotive ecosystem [2]