Sensor fusion
Meet ever-increasing demands to compute sensor and vision data in vehicles quickly, accurately and reliably
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Why choose TI for your sensor fusion systems?
High-performance processing
Create more accurate and reliable perception using highly-efficient vision and artificial intelligence (AI) accelerators to combine and process data from multiple sensors and sensor modalities.
Reliable, synchronized communication
Transmit and synchronize real-time data about a vehicle's environment for accurate, intelligent processing.
Easy system implementation
Start designing and get to market faster with our evaluation boards, compatible software and application-specific examples.
Design the sensor fusion platform for the autonomy level you seek
Combine and process sensor data in real time
Advanced driver assistance systems require the vehicle to make safety decisions in real time. From computer vision and signal and image processing to artificial intelligence (AI) and deep learning capabilities, our Arm®-based processors enable a broad range of efficient computing performance to improve automotive safety and enable the next step in vehicle autonomy. Design high-performance sensor fusion systems without sacrificing critical resources that streamline system design while helping meet ISO26262 standards up to ASIL D.
Reliable and secure data transmission across various protocols
As the number of cameras and sensors increase in the vision of building a fully autonomous vehicle, there is more data from around the vehicle than ever. Our advanced communication technologies safely and reliably transmit sensor data across any vehicle architecture, enabling time-critical safety decisions. Our vehicle networking portfolio includes Ethernet PHYs, FPD-Link devices, CAN, LIN, and PCIe supporting various data speeds and improving reliability for safety-critical driver assistance applications.
Featured products for multiprotocol communications
Power-efficient performance
Reducing power needs while meeting growing performance requirements is a concern for designers of advanced driver assistance systems. A discrete integrated power-management integrated circuit (PMIC) dedicated to a specific processor system-on-chip (SoC) helps reduce component count and system size while increasing efficiency and thermal performance. Our PMICs help you limit noise and maintain power density in sensor fusion designs while helping meet ISO26262 standards up to ASIL D.
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Accelerate software development on TDA4x processors
Evaluate software performance on TDA4x processors on our evaluation modules (EVMs) and in our cloud environment. Easily compile and deploy your models and accelerate inference with industry-standard application programming interfaces such as TensorFlow Lite, Open Neural Network Exchange (ONNX) Runtime, Tensor Virtual Machine (TVM), GStreamer, Docker, Robot Operating System (ROS) and Open Graphics Library (GL) for Embedded Systems (ES) to accelerate deep learning inference.
Optimize sensor fusion performance with our clocks and timing devices
Clocking is vital in sensor fusion to deploy multiple high-performance performance SoCs. Our portfolio of low-jitter, easy-to-use clocks and timing devices, including bulk acoustic wave oscillators, allows you to build your clock tree with simple discrete devices or highly integrated solutions.
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Design & development resources
ADAS 8-Channel Sensor Fusion Hub Reference Design with Two 4-Gbps Quad Deserializers
TDA4VM processor starter kit for edge AI vision systems
Bring smart cameras, robots and intelligent machines to life with the TDA4VM processor starter kit. With a fast setup process and an assortment of foundational demos and tutorials, you can start prototyping a vision-based application in less than an hour. The kit enables 8 trillion operations per (...)
Automotive domain controller for gateway, assisted and automated driving systems reference design
Decentralized vehicle architectures on the road today use individual ECUs that lack processing power and high-speed interfaces to handle the complex tasks and data movement needs of newly emerging automotive architectures. Higher level functions require the right combination of DMIPS, data (...)
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As ADAS technology extends to critical, time-sensitive applications – such as emergency braking, front-collision warning and avoidance, and blind-spot detection – combining data from multiple sensors enables reliable, real-time decisions for safer autonomous driving.