Aeva Adopts Cadence Tensilica Vision DSP to Advance Lidar Performance and Efficiency

Key Terms

4d lidar technical

4D LiDAR is a sensor that maps the shape and position of objects around it (the 3D part) while also capturing motion or timing information (the fourth dimension), so it can tell not just where something is but whether and how fast it’s moving. For investors, this matters because sensors that see movement more clearly can improve safety, enable more advanced driverless vehicles and robots, reduce reliance on expensive complementary sensors, and influence product competitiveness and market adoption.

dsp technical

A demand-side platform (DSP) is software that automates buying digital advertising space across websites, apps and video, letting marketers bid for and place ads in real time. Think of it as a smart shopper that compares many stores at once to find the best price and audience for each ad. Investors watch DSPs because their reach, pricing efficiency, data access and compliance with privacy rules directly affect revenue growth, margins and competitive position in ad-driven businesses.

ip technical

Intellectual property (IP) is the set of legal rights that protect a company’s ideas, inventions, brand names and secret methods—think of it as the recipes, blueprints and logos a business owns. For investors, IP matters because these rights can create exclusive advantages, produce licensing income, and increase a company’s value by preventing competitors from copying key products or brands. Strong, enforceable IP often signals a more defensible and potentially profitable business.

simultaneous localization and mapping (slam) technical

Simultaneous localization and mapping (SLAM) is a technology that lets a moving device create a map of an unfamiliar environment while continuously determining its own location within that map using sensors such as cameras, lidar, or sonar. For investors, SLAM matters because it is a core capability behind autonomous robots, self-driving vehicles, drones, and augmented-reality systems—like a traveler drawing a map as they walk so they won’t get lost—so companies that develop reliable SLAM can enable new products, reduce operating costs, and open recurring-revenue opportunities.

neural network compiler technical

A neural network compiler is software that takes a trained artificial intelligence model and translates it into an efficient, ready-to-run form for specific hardware like servers, phones, or specialized chips. Think of it as a skilled translator and packager that reshapes a blueprint so it runs faster, uses less power and fits the constraints of the target device. For investors, this matters because better compilers improve product performance, reduce deployment costs and expand the range of devices that can deliver AI features, which can boost sales and margins.

point cloud processing technical

Point cloud processing is the set of methods used to clean, organize and analyze large collections of 3D dots captured by scanners or cameras so they form usable models, maps or measurements. Think of it like arranging millions of colored dots in a pointillist painting until a clear picture and dimensions emerge. Investors care because effective processing is what turns raw sensor data into sellable products or services—driving accuracy, scalability, cost control and recurring revenue potential.

soc technical

Standard of care (often abbreviated SOC) is the treatment or management approach that is widely accepted and used by medical professionals for a particular disease or condition. For investors, SOC provides the benchmark against which new therapies, devices, or clinical results are judged—like comparing a new car to the current most popular model; a product that meaningfully outperforms the SOC can win market share and drive revenue, while failure to beat or match it limits commercial potential.

rule 10b5-1 trading plan regulatory

A Rule 10b5-1 trading plan is a pre-arranged schedule that allows company insiders to buy or sell stock at specific times, even if they have inside information. It helps prevent accusations of unfair trading by making these transactions look planned and transparent, rather than sneaky or illegal.

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SAN JOSE, Calif.--(BUSINESS WIRE)-- Cadence (Nasdaq: CDNS) today announced that Aeva, a leader in next-generation sensing and perception systems, has licensed Cadence^® Tensilica^® Vision DSP IP to accelerate signal processing in its 4D LiDAR systems—enabling flexible and scalable solutions for industrial robotics and automotive applications. This design win marks a significant step in delivering high-performance, low-power lidar systems optimized for real-time perception and autonomy.

Lidar technology enables precise 3D mapping and object detection in robotics, autonomous vehicles, industrial automation and other physical AI applications at the edge. Its ability to deliver high-resolution depth information makes it indispensable for safety and navigation. Aeva’s 4D LiDAR technology goes a step further by detecting velocity and position simultaneously, empowering autonomous devices to make safer, more intelligent decisions.

Cadence Tensilica Vision DSPs deliver a unique combination of programmability and performance, enabling Aeva to add flexibility, scalability and customizations to the lidar processing pipeline. Their inherent low-power architecture and customizable Tensilica Instruction Extension (TIE) language make Tensilica DSPs ideal for real-time signal processing, where latency and efficiency are critical.

“Cadence’s DSP technology provides the flexibility and performance uplift we need to push the boundaries of perception and deliver scalable solutions to our industrial and automotive customers,” said James Reuther, chief engineer of Aeva. “By integrating the Tensilica Vision DSP into our next-generation LiDAR systems, Aeva can leverage the powerful combination of Cadence’s highly configurable hardware and comprehensive suite of optimized software libraries to accelerate innovation and bring advanced sensing capabilities to market faster.”

“Cadence is committed to enabling our customers to build smarter, safer and more connected systems for edge and physical AI applications, and we look forward to collaborating with Aeva to redefine perception with their groundbreaking 4D LiDAR technology,” said Amol Borkar, group director of product management and marketing for Tensilica DSPs at Cadence. “Our Tensilica DSPs empower SoC providers to deliver differentiated performance and power efficiency in leading-edge, low-latency applications like lidar.”

Aeva is the latest in a growing list of companies leveraging Tensilica Vision DSPs to drive innovation across industrial robotics, autonomy and other physical AI applications. Tensilica Vision DSPs come with industry-leading software libraries optimized for neural networks, computer vision, simultaneous localization and mapping (SLAM), radar and point cloud processing. In addition, Tensilica DSPs are equipped with a third-generation neural network compiler, the NeuroWeave SDK, which enables execution of the latest AI networks proliferating in the lidar segment. With a proven track record in ADAS, radar, audio and vision processing, Tensilica DSPs remain the go-to solution for high-performance, low-power and customizable processor IP.

About Cadence

Cadence is a pivotal leader in electronic systems design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications, including hyperscale computing, 5G communications, automotive, mobile, aerospace, consumer, industrial and healthcare. For 10 years in a row, Fortune magazine has named Cadence one of the 100 Best Companies to Work For. Learn more at cadence.com.

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Source: Cadence Design Systems, Inc.