Search results for: 'computation science ad engineering'

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

This analytics highlights quantum computing innovation in the automotive industry and the significance of integrating this technology in supply chain, materials research, vehicle design, vehicle testing, assembly, manufacturing, retail, after-sales, and vehicle-in-motion. Simulations integrated with quantum computing processors analyze multiple pre...

17 Sep 2024  |  Global  |  Market Research

ADAS and AD Sensor Suite Strategies, Europe, 2024 2030

OEMs Strategies Will Drive Transformational Growth by Using LiDAR as a Primary Sensor with Cameras and Imaging Radar to Meet the Rise of Eyes-off Driving

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Key Issues Addressed

The global automotive industry is going through a transformation with the convergence of the connected, autonomous, shared, and electric (CASE) trends. Connectivity and autonomous driving (AD) features are leading this transformation. Globally, OEMs are looking to introduce various advanced driver assistance system (ADAS) features ranging from L0 t...

Recent cutbacks in EV investments due to lower consumer interest and higher raw material prices can boost alternative ICE vehicles, such as H2ICE, with lower price premiums that consumers can readily adopt in the short-to-medium term. ICEs running on hydrogen require minimal modifications and offer good customer value. These fuels can be made avail...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

This Frost Radar™ report analyzes the top 8 players from the quantum computing market actively investing in future potential use cases with OEMs and Tier-1 suppliers in the automotive industry. It includes a mix of pure-play quantum hardware players, quantum software specialist companies, and comprehensive end-to-end quantum solution providers that...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Air Taxi, Electric Vehicles, Autonomous Mobility, Radar and Diesel Engines. Some of the innovations profiled include Autonomous Electric Air Taxi for Urban Air Mobility, Advanced 3D Mapping and Object Detection System for Autonomous Vehicles, Intelligent Operating Sys...