HomeElectronics NewsChips For Safer, Smarter Cars

Chips For Safer, Smarter Cars

The lidar, clock, and radar chips help make cars safer and more automatic by improving sensing, timing, and processing for driver help systems.

TI enables automakers to advance vehicle autonomy and safety with new chips in its automotive portfolio
TI enables automakers to advance vehicle autonomy and safety with new chips in its automotive portfolio

Texas Instruments have introduced a new portfolio of automotive lidar, clock, and radar solutions designed to help automakers enhance advanced driver assistance systems (ADAS) and expand autonomous capabilities across a wider range of vehicles.e

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At the forefront is the LMH13000, the industry’s first integrated high-speed lidar laser driver. Featuring an ultra-fast 800ps rise time, the LMH13000 enables up to 30% longer distance measurements compared to discrete solutions—crucial for real-time object detection and reaction in autonomous systems. Its integrated support for LVDS, CMOS, and TTL signals eliminates the need for bulky capacitors and extra circuitry, reducing system cost by up to 30% and shrinking solution size by a factor of four.

With output currents up to 5A and only 2% variation across extreme temperatures (-40°C to 125°C), the LMH13000 also supports Class 1 eye safety standards—unlike traditional solutions that vary up to 30%. 

TI also launched the CDC6C-Q1 oscillator, along with the LMK3H0102-Q1 and LMK3C0105-Q1 clock generators—the first automotive-grade clocking solutions based on bulk acoustic wave (BAW) technology. These devices offer 100x greater reliability than quartz-based alternatives, with a failure-in-time (FIT) rate as low as 0.3. Their resilience against temperature shifts, vibrations, and electromagnetic interference makes them ideal for mission-critical ADAS and infotainment applications. 

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Expanding its radar portfolio, TI introduced the AWR2944P mmWave radar sensor, a powerful upgrade to the popular AWR2944 platform. This sensor enhances front and corner radar capabilities through an improved signal-to-noise ratio, greater computational power, expanded memory, and a built-in hardware accelerator that enables machine learning at the edge—together supporting longer-range detection, enhanced angular accuracy, and more advanced processing to meet the demands of next-generation ADAS applications.

“Our latest automotive analog and embedded processing products help automakers both meet current safety standards and accelerate toward a collision-free future,” said Andreas Schaefer, TI general manager, ADAS and Infotainment. “Semiconductor innovation delivers the reliability, precision, integration and affordability automakers need to increase vehicle autonomy across their entire fleet.”

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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