Search results for: 'multi'

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

Multimodal perception is transforming robotics and automotive systems by combining cameras, lidar, radar, event-based vision, and other sensing technologies through AI-driven sensor fusion. These advances enhance environmental perception, localization, and real-time decision-making. This Frost Radar™ evaluates 11 companies shaping the multimodal pe...

The study provides a comprehensive analysis of the axles market in India—specifically, axles that find applications in multi-axle vehicles which have end usage in heavy goods transportation either as a rigid body or in tractor trailer applications. Increasing investments in the infrastructure segment and increasing industrialization has created a h...

This Frost & Sullivan report examines automotive lightweighting strategies, highlighting the various initiatives adopted by original equipment manufacturers (OEMs) to reduce the weight of passenger vehicles. As the industry rapidly advances toward electrification and sustainability, reducing vehicle weight has become a crucial lever for meeting emi...

Hybrid vision systems (HVS) are positioned to substantially impact perception-driven applications across a diverse array of sectors, including robotics, manufacturing, logistics, mobility, surveillance, and agriculture. By intricately combining the geographical precision of LiDAR with the semantic intelligence of advanced imaging systems, these inn...

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...

16 Apr 2018  |  Global  |  Market Research

Global OEM Aftersales 2.0—Comparative Benchmarking of Adoption of New Parts and Service Business Models, 2017

Multi-brand Parts Sales and Innovating with Vehicle Servicing Strategies will be Key for OEMs to Sustain Aftersales Revenue

Infographics

×

Key Issues Addressed

The aim of the study is to understand the current transition and to predict future trends in global automotive OEM aftersales segment. As older cars shift to the independent aftermarket primarily due to an aging vehicle population and high cost incurred, OEMs have to strategize their aftersales programs to sustain their market share.--BEGIN PROMO--...

The global video telematics market is on a robust growth trajectory, driven by fleets upgrading from traditional fleet management systems to advanced video-enabled solutions. For many providers, video telematics has evolved from just being a peripheral product into a core revenue driver for fleet operators. The tangible benefits of investing in vid...

Chiplet-based compute architectures for vehicles are entering a new phase, reshaping SDV hardware roadmaps by enabling modular multi-die platforms that scale performance, improve yield, and accelerate refresh cycles while meeting long lifecycles, safety, and cybersecurity requirements. This Frost & Sullivan study examines how automakers, Tier 1s, s...