Cadence has a depth of knowledge and experience through years of working closely with customers to meet the challenges of designing and verifying automotive components, subsystems, and entire systems.
Optimized ADAS SoCs
Enable real-time data sensing and processing (without latency), leveraging efficient edge computing
Leverage the largest software partner ecosystem for audio, voice, and speech
Highly Integrated ECUs
Enable new ECU architectures with a new class of automotive SoCs
Address Functional Safety
Achieve ISO 26262-compliant design, verification, and documentation of safety-critical automotive systems
A holistic design approach ensures that the vehicle meets automotive quality, safety, and security standards early in the design cycle.
The amount of electronics in advanced driver assistance systems (ADAS) is growing with autonomous driving and new services such as high-definition digital maps. A new class of high-performance systems-on-chip (SoCs) is needed to process all the sensor data and fuse them together. ADAS SoCs enable vehicles to become “aware” of their surroundings—but at a cost in terms of chip area, power consumption, and performance.
High-performance ADAS SoCs require machine learning, high compute performance, and high network bandwidth to support a low-latency transmission of high video/image resolution and memory bandwidth, low power consumption, and a safety architecture. Tensilica® processor IP supports real-time data processing at the edge for automotive camera, radar, and lidar sensors that enable high-performance, low-power smart sensors.
Infotainment features can make or break a new car purchasing decision, so the rush is on to greatly improve the automotive user experience. People now expect their connected digital lifestyles to extend into their vehicles with infotainment systems as intuitive to use as their smartphones. In addition, the design of infotainment systems has become more complex with consumer demand for innovative features.
Tensilica® HiFi DSPs enable audio/voice/speech processing, voice recognition, DAB radio, audio high-fidelity playback and sound enhancement, Active Noise Cancellation, Engine Sound Design, and USB, Wi-Fi, Bluetooth technology, LTE, and Car2X connectivity.
Design and verification of high-speed communication links between sensors, ADAS systems, and other ECUs are critical to ensure high-performance in-vehicle networking (IVN). Cadence® Design and Verification IP supports multi-speed Ethernet speed grades from 10 Mbps up to 10 Gbps and Time Sensitive Networking (TSN). Cadence Sigrity™ technology enables signal and power integrity analyses of the PCB as well as an Ethernet channel simulation including cables, connectors, and ECUs.Read Brochure Learn More
The automobile has always been a harsh environment for electronic design and signal fidelity. Now, ever more complex electronic control, rising data rates, and a simultaneous drive for fewer electronic control units (ECUs) per car means significant design, integration, and verification challenges for modern ECUs. Cadence offers design tools across all the PCB, system-in-package (SiP), and system-on-chip (SoC) fabrics, enabling coherent and integrated ECU design and analysis. Our system analysis tools enable mixed-signal subsystem development and IC integration, PCB and package design, analog reliability analysis, and thermal/EMI/EMC analysis and optimization.Learn More
From staying up-to-date on the latest standards to managing all the associated data, complying with functional safety requirements has traditionally been a time-consuming, manual effort. Cadence is transforming this process by automating fault injection and result analysis for intellectual property (IP), system-on-chip (SoC), and system designs.
In order to enable ISO 26262-compliant design, verification, and documentation of safety-critical automotive systems, Cadence provides an automated functional safety solution to address key tasks like safety planning, safety mechanism insertion, automated fault injection, safety verification, fault debugging, and tracking.