Skill-Lync for Business

India holds massive potential to become a global ER&D powerhouse in the automotive sector, with the rapid advancement of software-defined features in vehicles. Global OEMs like Daimler, Renault-Nissan, and Stellantis have set up India's technology centers to develop products and solutions worldwide.  However, a major roadblock in this development is the widespread talent shortage in terms of specific skill sets like driver assistance systems, electric powertrain engineering, and software development. Skill-Lync facilitates talent onboarding and upskilling in new-age engineering technologies like AUTOSAR for 350+ companies. Through our customizable delivery models, we have addressed talent development needs for firms like Hella, Magna, TATA Elxsi, Cyient, Continental, DICV, and more. Leverage the automotive revolution effectively with Skill-Lync. Explore our employee training solutions today. Schedule a callback here: https://bit.ly/3r47EQI #technology #development #engineering #automotive #researchanddevelopment #research

Stellantis, BlackBerry QNX, and AWS Unveil the Virtual Cockpit, Accelerating In-Vehicle Software Innovation The future of in-vehicle software engineering is here, and Stellantis, BlackBerry QNX, and AWS are at the forefront, introducing a pioneering Virtual Cockpit as part of Stellantis’ new Virtual Engineering Workbench (VEW). This platform is transforming the development process for infotainment and vehicle control systems, accelerating timelines by a staggering 100x and getting cutting-edge features to drivers faster than ever. Stellantis has long been committed to delivering on the promises of the STLA Brain, STLA SmartCockpit, and STLA AutoDrive platforms, part of the automaker’s broader Dare Forward 2030 strategic vision. By embracing QNX Hypervisor in the cloud, which is now available on AWS Marketplace, Stellantis can simulate high-performance in-car computing for software development and testing. This setup enables seamless integration across multi-OS environments, using standardized VirtIO interfaces for graphics, audio, and user inputs that closely mimic real-world systems without requiring actual hardware. According to Yves Bonnefont, Chief Software Officer at Stellantis, "With our virtual cockpit, we’re improving our approach. We can develop with a speed that brings us closer to the end-user experience, delivering technology they rely on and enjoy." BlackBerry QNX has tailored the QNX Hypervisor to create an intuitive, reliable virtual environment for in-vehicle software design and validation. “With early access to QNX Hypervisor in the cloud, we’re reducing complexity and helping to accelerate automotive software innovation throughout the vehicle lifecycle,” says Mattias Eriksson, President of BlackBerry IoT. AWS for Automotive and Manufacturing, represented by Wendy Bauer, Vice President and General Manager, brings robust cloud support that enables real-time customer feedback, allowing teams to refine and test features in response to driver preferences, optimizing the cockpit experience with every iteration. As cloud-enabled automotive technologies gain traction, the Stellantis VEW initiative highlights the power of collaborative innovation between automakers and tech leaders. Together, Stellantis, BlackBerry QNX, and Amazon Web Services (AWS) are creating immersive, user-friendly driving experiences and setting a new benchmark for efficient and agile automotive R&D. #Automotive #Innovation #InVehicleTech #VirtualEngineering #QNX #CloudComputing #Infotainment #Stellantis #AWS #BlackBerryQNX

Transforming In-Vehicle Experiences: SoundHound AI’s Voice Assistant Enhances Driver Interaction The automotive industry is accelerating toward a future where software and AI shape every part of the driver’s experience. Leading this movement is California-based SoundHound, whose innovative Chat AI for Automotive is making in-car digital assistants smarter, more intuitive, and incredibly responsive to natural speech. The integration of Generative AI (GenAI) is transforming voice interaction, promising smoother, more natural conversations with in-vehicle assistants. Imagine your car’s assistant answering questions or guiding you through trip planning without a hitch, even recognizing follow-up questions and adjusting its responses. SoundHound’s Chat AI achieves this by leveraging proprietary CaiLAN (Conversational AI Language) and CaiNET (Conversational AI Network) technologies to manage responses across multiple domains—be it for route guidance, weather updates, or vehicle troubleshooting. Michael Zagorsek, SoundHound’s Chief Operating Officer, explains, “You can now speak naturally to the vehicle assistant and get immediate responses from GenAI, seamlessly integrated with real-time features. CaiLAN and CaiNET work together to arbitrate results, giving drivers quick and accurate responses across categories like navigation, dining, or maintenance checks.” The versatility of this platform stands out, with use cases spanning beyond basic requests. From helping drivers locate parking spots to learning more about vehicle maintenance, SoundHound Chat AI also supports educational and entertainment options for passengers. Imagine a guided in-car tour based on your location and interests, all activated by voice. The impact of SoundHound AI’s innovation is already making waves—Stellantis’ DS Automobiles first launched Chat AI in February 2024, with the technology now available across brands like Peugeot, Opel, and Vauxhall Motors Ltd in multiple languages and regions. According to Zagorsek, this rollout highlights the success and rising demand for such technologies, with more partnerships expected across Europe and the US. As the market for software-defined vehicles (SDV) expands, OEMs have a growing opportunity to introduce AI-powered, software-centric UX that truly listens and responds, helping drivers stay safe, engaged, and hands-free. #SoundHound #Automotive #Innovation #Technology #AI #VoiceAssistant #SoftwareDefinedVehicle #GenerativeAI #InVehicleExperience #OEM

[Webinar Alert] Classic AUTOSAR for Automotive Software Development 🚗✨ Join us on November 6th at 3 PM IST for an in-depth webinar led by Mr. Ganapathy, a seasoned expert in AUTOSAR and Embedded Systems with over a decade of industry experience. Dive into the essentials of Classic AUTOSAR and gain insights into the architecture, use cases, and development methodologies driving the evolution of vehicle software. #WebinarAgenda: 🔹 Need for Vehicle Software Architecture 🔹 AUTOSAR Architecture Overview 🔹 Key Features of Classic AUTOSAR 🔹 Use Cases & Architectural Approach 🔹 Methodology, Tooling Environment & Modules Whether you're an aspiring automotive engineer or a professional looking to enhance your skills, this session promises valuable insights into AUTOSAR standards and real-world applications. Don’t miss out on the opportunity to learn from a dedicated educator and industry specialist passionate about empowering the next generation of engineers! #AutomotiveSoftware #ClassicAUTOSAR #AUTOSAR #EmbeddedSystems #Automotive #Engineering #SoftwareDevelopment #SkillLync #Webinar

The Rise of #EdgeComputing in #CommercialElectronics As consumer expectations for real-time responsiveness and performance rise, edge computing is transforming the landscape of commercial electronics. Unlike traditional cloud computing, edge computing processes data closer to the device itself rather than sending it to a distant data center. This reduces latency, enhances data security, and enables faster responses, crucial in devices like smart home assistants, wearables, and mobile gadgets. In smart home technology, for example, edge-based processing allows devices like cameras, thermostats, and voice assistants to make decisions locally, rather than relying on cloud processing. For instance, a smart security camera with edge processing can instantly detect unusual activity and trigger alerts without delay. This design enhances security and conserves bandwidth by transmitting only essential data to the cloud. Wearable devices, such as smartwatches and fitness trackers, also benefit from edge computing. By processing data locally, wearables can provide real-time health analytics, monitor heart rate or oxygen levels, and issue notifications with minimal delay. This capability is essential for emergency applications where every second counts and local data processing reduces battery consumption by minimizing data transmission. For engineers, understanding edge computing architecture and IoT integration is increasingly critical. Training in topics like real-time analytics and power-efficient edge processors enables engineers to meet the unique demands of consumer devices. As more devices leverage edge computing for speed, efficiency, and security, developing skills in this area ensures engineers are equipped to create the next generation of responsive and intelligent consumer electronics. #EdgeComputing #ConsumerElectronics #SmartHome #WearableTech #IoT #RealTimeAnalytics #EngineeringTraining #Innovation

#WhitepaperInsights: AI-Driven Low-Level Fusion and Perception in #ADAS for #AdvancedSafetySystems Road safety has evolved significantly over the years. Traditional vehicle safety features like airbags, seatbelts, and robust structural frames have long been essential in protecting passengers. However, the focus is shifting from protecting passengers during a collision to preventing accidents altogether. This shift marks a new era of road safety, powered by Advanced Driver Assistance Systems (ADAS), which leverage sensor fusion and perception technology to enhance situational awareness and facilitate proactive responses on the road. The New Car Assessment Program (NCAP) has been at the forefront of this shift, setting rigorous standards for ADAS technologies in various regions to enhance overall road safety. LeddarTech- Automotive Software: Low-Level Sensor Fusion & Perception’s proprietary low-level fusion technology is a significant development in this arena. Their LeddarVision perception stack extends object detection ranges beyond 200 meters, enhancing vehicle response time and improving safety outcomes. By incorporating radar, LiDAR, cameras, and other sensors, LeddarVision achieves high-performance object tracking, even in challenging environments with poor visibility due to fog, rain, or snow. This scalable, sensor-agnostic approach ensures that vehicles can handle real-world scenarios, as the software’s resilience is tested against adverse weather conditions and sensor disruptions, making safe ADAS technology a reality. To meet NCAP’s tightening ADAS criteria, perception solutions like LeddarVision are vital. The software can handle critical safety scenarios, such as automated emergency braking in Euro NCAP’s car-to-car collision tests, which assess vehicles under various speed and angle conditions. Additionally, LeddarVision includes advanced object trajectory prediction and perception decomposition to reduce false alarms and provide precise object separation. These improvements are essential to achieving 5-star safety ratings as regulatory bodies introduce nighttime, low-light, and variable-surface testing by 2025. Looking ahead, the future of NCAP testing highlights the need for robust and cost-effective ADAS that performs under diverse scenarios. With LeddarTech’s LVF-E and LVF-H platforms, manufacturers can meet these demands while minimizing R&D costs. This advancement accelerates the adoption of life-saving technologies, making the road safer for everyone and supporting OEMs and Tier 1 suppliers as they strive for optimal safety performance. LeddarTech’s contribution reflects a leap toward accident prevention, redefining safety with AI-based, low-level fusion technology. Link to the Whitepaper: https://lnkd.in/gaJJg2UU #Automotive #Engineering #Innovation #Techology #ADAS #RoadSafety #SensorFusion

Missed our live session on #ClassicAUTOSAR? Dive into the recording and explore how this standardized architecture simplifies automotive software development and ensures seamless integration across ECUs. Learn from industry experts about its key components, real-world applications, and best practices for automotive engineers. 📺 Watch now and level up your knowledge: https://lnkd.in/ey5tF7bj #Webinar #Automotive #Innovation #Engineering #Software #AUTOSAR #ClassicAUTOSAR

Ensuring ADAS Safety through Advanced Automated Testing Solutions As Advanced Driver Assistance Systems (ADAS) evolve, ensuring the safety and reliability of these systems is becoming increasingly crucial. Automakers face mounting pressure to validate the performance of ADAS features as software defines a growing number of vehicle functionalities. Thorough testing methods have emerged as a key enabler for the future of vehicle autonomy. In regions like the US, China, and Europe, New Car Assessment Programs (NCAP) have prioritized testing ADAS safety features. Companies like AB Dynamics are developing sophisticated test objects and driving robots to simulate real-world hazards, ensuring vehicle responses are accurate, repeatable, and reliable. Andrew Pick from AB Dynamics highlights the importance of “ground truth data,” which is crucial for validating ADAS in a controlled environment. With a robust protocol library that now includes more than 1,000 test cases, automakers can rapidly evaluate systems like lane-keeping assist and adaptive cruise control. As OEMs like Mercedes-Benz AG and BMW Group introduce Level 3 autonomous systems, testing complexity is expected to rise. Tools like AB Dynamics’ Track Applications Suite are designed to keep pace with these advancements, offering scalable testing solutions that could soon incorporate blind spot hazards and sensor obstructions. With MarketsandMarkets™ predicting that ADAS hardware production will nearly double by 2030, automated testing will be critical to building consumer trust and regulatory compliance in the age of vehicle autonomy. #ADAS #AutonomousVehicles #Automotive #Technology #SoftwareTesting #VehicleSafety #Innovation #AI #MachineLearning #MobilityTech

As the automotive industry accelerates towards smarter, connected, and autonomous vehicles, Classic AUTOSAR stands as a vital enabler for innovation, safety, and reliability. From ADAS to infotainment systems, this standardized software framework is revolutionizing vehicle functionality. Through 40 hours of live virtual sessions, hands-on learning across 9 modules with projects, and access to Elektrobit's AUTOSAR tools such as EB Tresos Wincore 8 and EB Tresos Studio, participants will acquire invaluable skills to advance their careers in automotive software development. 🗓 Cohort start date: November 18th, 2024 🎯 Early-bird pricing until October 25th 💰 Group discounts available! 🚀 Get ahead in automotive innovation—empower your team to lead the way. Register now for a consultation: https://bit.ly/3U29JHR You can also call at 9791943062 to know more. Learn more about our upcoming programs on Software-Defined Vehicles and Adaptive AUTOSAR starting January 2025. #Automotive #Innovation #Engineering #Technology #AUTOSAR #SDVs #SoftwareDevelopment #Training #Certification

The Role of Software in #CommercialVehicles In today’s commercial vehicle landscape, software is taking center stage as manufacturers pivot towards software-centric strategies. The transition to decoupling software from hardware is crucial, allowing Original Equipment Manufacturers (OEMs) to respond swiftly to market demands while fostering faster innovation cycles. This shift has significant implications for the industry. By treating software as a separate entity, manufacturers can roll out updates and new functionalities without overhauling the hardware. This flexibility is essential in an era where 65% of vehicle functionality is expected to be software-based by 2030, as outlined in a recent McKinsey & Company report. Advanced software capabilities open the door to critical functionalities, such as: #PredictiveMaintenance: Using data analytics, predictive maintenance can reduce downtime by up to 30%, significantly cutting operational costs and enhancing vehicle reliability. By anticipating failures before they occur, fleets can plan maintenance more effectively. #AdaptiveVehicleDynamics: The ability to adjust vehicle performance in real-time based on current conditions enhances safety and efficiency. This capability allows for improved fuel economy and better handling, crucial for optimizing the total cost of ownership. Enhanced Driver Assistance Systems (#ADAS): With the integration of AI and machine learning, ADAS technologies provide critical support for drivers, reducing accidents and improving overall safety. The adoption of such systems is expected to grow as 40% of fleets plan to implement advanced ADAS features in the next three years. As we progress toward a future defined by connectivity and automation, the importance of robust software architecture cannot be overstated. This shift not only enhances vehicle performance but also positions commercial vehicles to meet the evolving needs of fleet operators. The pathway forward will require OEMs to invest in agile development practices and embrace the digital transformation that is shaping the automotive landscape. In conclusion, software is not just an add-on; it is the backbone of innovation in commercial vehicles, driving efficiency and ensuring they remain competitive in a rapidly changing market. #Automotive #Innovation #Technology #Engineering #Innovation #Software