Cadence and Aeva are pushing LiDAR 4D toward a faster and more power-efficient future by pairing sensing hardware with Tensilica Vision DSP technology. The move is aimed at improving real-time processing so autonomous systems can react more quickly to objects that are moving in complex environments.
That matters because modern vehicles, industrial robots, and edge AI systems all depend on accurate perception without draining too much power. In that setting, LiDAR 4D is becoming more important as manufacturers look for sensors that can support both speed and efficiency at the same time.
Why LiDAR 4D is drawing more attention
LiDAR has long been a core technology for autonomous driving and robotics because it helps map 3D space and detect objects with high accuracy. Aeva’s LiDAR 4D goes a step further by identifying an object’s position and speed at the same time.
That combination gives autonomous machines a better chance to respond quickly when traffic is dense or when a work environment changes rapidly. For systems that need immediate decisions, being able to read motion in real time is a practical advantage.
What Cadence and Aeva are building together
Cadence and Aeva have announced a collaboration to integrate Tensilica Vision DSP into LiDAR 4D systems. The goal is to accelerate data processing while improving power efficiency, which is a key requirement for modern sensing platforms.
Aeva is licensing the DSP technology to speed up signal processing in its LiDAR 4D products. The integration is intended to strengthen real-time perception for automotive use cases as well as physical AI applications.
The role of efficient processing
Cadence says Tensilica Vision DSP is designed to deliver high performance with low power use for real-time workloads. It is also adaptable to different device workflows, which gives it flexibility across a range of sensor implementations.
That matters for low-latency applications such as LiDAR, where systems must respond quickly without creating an excessive power burden. In industrial automation, that balance becomes even more important because systems often need to stay stable and efficient over long operating periods.
Beyond LiDAR alone
Tensilica Vision DSP is not limited to LiDAR processing. Cadence says it is also used in ADAS, radar, audio processing, computer vision, and SLAM, short for Simultaneous Localization and Mapping.
Cadence also pairs the platform with NeuroWeave SDK, a next-generation neural network compiler meant to support modern AI execution on edge devices and autonomous systems. Together, the hardware and software stack points to a broader push for faster sensing and more capable intelligent systems.
What both companies say about the integration
James Reuther, Chief Engineer at Aeva, said the Cadence integration provides the flexibility and performance gains needed to expand perception capabilities. He added that the support will help deliver scalable solutions for industrial and automotive customers.
Reuther also noted that bringing Tensilica Vision DSP into next-generation LiDAR systems allows Aeva to use Cadence’s highly configurable hardware and optimized software suite. From Cadence’s side, Amol Borkar, Group Director of Product Management and Marketing for Tensilica DSP, said the company remains committed to helping build AI systems that are smarter, safer, and more connected.
As autonomous vehicles and industrial robots continue to demand more from their sensors, LiDAR 4D is being positioned as an increasingly important foundation for machine perception. Its ability to read both position and speed, while keeping power use in check, makes it relevant to a wider range of automation needs.
