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Recent Articles
Transforming Automotive Software Testing: How Virtual Test Environment on Amazon Web Services (AWS) Solves Real Industry Challenges
Transforming Automotive Software Testing: How Virtual Test Environment on Amazon Web Services (AWS) Solves Real Industry Challenges
关于 KPIT 自动驾驶战略的采访 “欧洲是我们的安全基准”
走进数字驾驶舱： 与 KPIT 一起应对软件集成的复杂性
利用 AWS 通过预测性维护和生成式人工智能推进汽车创新
改造传统机箱系统，实现新一代用户体验
引领汽车数据的未来：原始设备制造商为何需要统一的数据平台
加速 SDV 之旅：AEK 2025 的启示
谁信任机器？KPIT 在世界经济论坛上的观点
印度汽车技术的飞跃：Kishor Patil 在 ET Auto 主题演讲中的见解
汽车电子的未来：分区架构为何是下一个重大转变
人工智能如何通过 Trace2Fix Copilot 彻底改变车辆诊断技术
在 SDV 环境中进行车身电子设备验证的要点
访谈：KPIT 简化汽车行业软件集成的方法
Accelerating Vehicle Development: Overcoming Verification and Validation Hurdles through Virtual Validation & Simulation
From Anxiety to Assurance: Redefining the EV Ownership Experience
Unlock Flexibility and Innovation for Cockpit Systems with Hardware-Software Synergy
Mastering the complexity of SDVs with KPIT
How KPIT Aims to Become Your Car’s Must-Have Software
Revolutionizing EV Production: How Modular Platforms are Transforming Manufacturing
Seamlessly integrated charging ecosystem for electric vehicles
How In-Car Gaming Can Revolutionize Passenger Entertainment and Drive Revenue
Making Transformation Towards Software-Defined Vehicles a Reality
KPIT featured on HANSER automotive Cover Story “Transforming Automotive Software Validation for Software-defined Vehicles!”
Revolutionising Manufacturing Agility – The Power of Reconfigurable Giga-Casting
Overcoming Challenges in V2G PlugnCharge Implementation & exploring solutions to accelerate time to market
How to leverage Generative AI for Automotive Software?
Deploying Service Oriented Architecture- (SOA) for Autonomous Driving development & verification in the Software Defined Vehicle Environment
Exclusive Interview with Mr. Anup Sable :
‘KPIT brings the Power of Software Integration to the Mobility Ecosystem’
Interview with Mr. Kishor Patil, Co-Founder, CEO and MD, KPIT Technologies and Automobilwoche
实现 L2 + 自动驾驶车辆的“优雅降级”
Future of Mobility
Datenduplizität vermeiden
Achieving Safe Adoption of Autonomous Driving with Next-gen Software Systems
Predicting Remaining Useful Life (RUL) of Automotive Components using AI/ML technologies
REMOTE SOFTWARE MANAGEMENT (RSM)
Integrated Data Models for Vehicle Diagnostics Development
How to Boost your Career in Automotive Software?
人工智能（AI）正为自动驾驶提供基于场景驱动的验证能力。
The right software is the driver
for E-mobility
The critical role of Functional Safety in Autonomous Driving development
智能电动汽车电池包设计，提高续航能力
Driving Change in Mobility
电动化：重塑未来移动出行
自动驾驶汽车传感器自动校准系统
Harmonizing Cybersecurity with Safety and System Engineering
Cloud-based Solutions for New-Age Mobility
一体化泊入与泊出系统的架构
Artificial Intelligence and Simulation – How Two Unlike Industries, Push Forward as One
Cloud Computing in Autonomous Driving and ADAS Development
改变对空中更新（OTA）应用的认知
Fuzz Testing on UDS over CAN
OTA Software Updates: Changes Ahead
How Software Is Eating the Car
OTA（Over-the Air）アップデートの変化する風景
How to achieve the best Sensor Fusion for ADAS/AV vehicles?
Software Integrator KPIT seeks for German partners
空中更新（OTA)
格局正在发生变化
Software Industrialization is the next step in a Commercial Vehicle’s Autonomous Driving Journey
Re-programming classic ECUs with Adaptive Autosar
Dual Banking for Seamless SOTA updates
电动出行：未来之路
Safety Validation – The Path To Homologation
Trends that will dominate 2021 in automotive and mobility ecosystem
The Major Challenges To Automotive Aftersales Profitability And How To Overcome Them
A car is the most complex software-driven gadget
Securing A Connected Car
以安全互联的两轮出行迈向未来
Servitization opportunities for automakers with a future-ready service delivery platform
KPIT at Automobil Elektronik Kongress 2020
协同合作：汽车开发的未来
NASSCOM urges setting up of super innovation clusters to accelerate auto ER&D
如何设计与配置同时支持自适应与经典AUTOSAR共存的系统？
Artificial Intelligence Technology, the key for Autonomous Driving Development
以平台为主导的电动车软件集成，应对多方参与的开发场景
Using Virtual Simulation To Achieve Maximum Validation Coverage For ADAS/AD
An expert perspective on careers in Autonomous Driving technology
3 reasons why India can be a global hub for ADAS/AD software development
Cyber Security for your Smart Charging System
4 features that define a good conformance testing suite for EVCCs
Complexities in Bringing AD to Production German
Complexities in Bringing AD to Production
Why C++ has gained traction in Autonomous Driving and ADAS (Self Driving Cars)
ISO 26262 Driven Fail Operational Safe Architecture as Secondary Channel for Automated Driving Features
The Lifecycle of a Diagnostic Trouble Code (DTC)
Kishor Patil: ‘In five years, we will probably see most cars in India with L2 and L3 features.’
迈向全球领先的软件集成合作伙伴之路
Becoming the Global No.1 Software Integration Partner – by Kishor Patil KPIT
How Software in Automobiles Helps Curb Pollution
Predicting Remaining Useful Life (RUL) of automotive components using Deep learning
Electric Architecture: The backbone of an Electric Vehicle
了解价值工程，其核心优势与应用范围
Functional Safety (FuSa) in Automotive World – Concept & Use Case
Will cars impact our lives in a similar way as smartphones? by Kishor Patil KPIT Co-Founder, MD & CEO
Secret sauce that’s proven Automotive companies to be Timeless and Enduring by Kishor Patil KPIT Co-Founder, MD & CEO
基于模型的系统工程
Age of the Electric Powertrain
自适应 AUTOSAR 中的诊断
The Car : An IT architecture on wheels
Autonomous Driving and Artificial Intelligence An Approach to Achieve Functional Safety
Architectural Concepts for Autonomous Driving applications
Connected Diagnostics
Adaptive AUTOSAR – Write once, adopt everywhere
诊断的未来：此时此地
Smart charging – Vehicle to grid Communication
Avoid traffic and Pollution – Ride in an Electric Bus
Achieving Shared Electric Mobility Is Possible Even Before 2030
Help me breathe clean air
Strengthening Pillars For Automobile Transport In 2030
A meaningful partner to the mobility industry
The future of automotive software & automotive functionality
System Engineering Plays A Key Role In Autonomous Vehicle Journey
A strategic partner for Autonomous Driving
That’s why we are obsessed about validation coverage
How Technology Will Evolve Transportation In emerging markets
一辆汽车拥有超过一亿行代码。你知道这些代码是如何被组装的吗？
Future Challenges for working with ECU projects and how Business Models change
Vehicle diagnostics architecture that enables vehicle services to move out of workshops
自适应AUTOSAR - 一种新的工作方式
超越传统诊断方式
