AEye, a provider of LiDAR solutions and manufacturer of the Apollo LiDAR sensor, has announced plans to demonstrate its Apollo sensing solution at CES 2026.

The company will present the Apollo LiDAR sensor, a solution for detecting objects at distances of up to one kilometre. The sensor features a form factor that allows for integration behind windscreens. AEye also plans to highlight how the Apollo and OPTIS solutions can be used for infrastructure and logistics. OPTIS uses computing to deliver 3D perception and analytics for drones, intersections, shipping corridors and logistics hubs.

These technologies are designed to assist with safety, efficiency and visibility. The company’s focus on infrastructure and logistics reflects a strategy for global growth, including in regions such as India, where investment in smart cities and transport networks is increasing.

Matt Fisch, CEO, AEye, said, “CES brings together the most important players in transportation and mobility, making it an ideal venue for us to demonstrate how Apollo and OPTIS are redefining what’s possible with LiDAR. With unmatched range and real-time AI-driven perception, we’re helping our customers tackle complex transportation and infrastructure challenges with scalable solutions built for real-world deployment. We are also looking forward to announcing our next-generation LiDAR, with range capabilities extending beyond one kilometre, underscoring the company’s continued leadership in long-range and ultra-long-range perception.”

The presentation will also include a preview of a LiDAR sensor with detection capabilities exceeding one kilometre, intended for long-range perception requirements.

Image for representational purpose only.

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Hyundai Motor Group has expanded its Center of Excellence (Hyundai CoE) in India by forming a consortium with 7 universities to conduct research into battery and electrification technologies.

This initiative adds IIT Kanpur, IIT Hyderabad, VNIT Nagpur and Tezpur University to the existing partnership established in 2025 with IIT Madras, IIT Delhi and IIT Bombay.

The Group is managing 39 joint projects through these institutions, focusing on battery cell safety, energy density and diagnostic systems. Research is specifically directed toward battery designs and materials intended for the Indian environment.

Technical work also includes the development of an AI-powered Vehicle-to-Grid (V2G) platform and advancements in Battery Management Systems (BMS).

To facilitate technical exchange, the Group has introduced a Korea Visiting Programme for researchers and a series of global conferences and forums. These programmes are designed to connect government, industry, and academic leaders to discuss emerging electric vehicle (EV) technologies and share technical insights between India and Korea.

Chang Hwan Kim, Head of the Electrification Energy Solutions Tech Unit, Hyundai Motor Group, said, “By bringing together the distinguished professors and emerging researchers from these seven institutes, we can create powerful synergies that will yield immense value for both Hyundai and India's sustainable growth. I strongly believe that the Hyundai CoE will grow to become the premier expert network of the Indian academic community”.

The long-term objective of the project is to establish a research hub that provides solutions for the domestic automotive industry and supports the transition to electric mobility through local talent and institutional expertise.

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NXP Semiconductors has announced a collaboration with Quanta to launch a deterministic zonal networking solution designed for next-generation Software-Defined Vehicle (SDV) architectures.

The platform combines NXP’s S32 automotive processing platform with TrustMotion’s MotionWise middleware to provide predictable, real-time communication across vehicle networks.

The solution is engineered to solve a primary challenge for automotive manufacturers: ensuring precise timing across distributed compute and network components. By providing end-to-end determinism, the platform reduces the risk of errors during late-stage system integration.

The solution features an automated workflow for topology discovery and schedule generation designed to accelerate SDV program timelines. It combines NXP S32 processors, SJA1110 TSN-enabled switches and multi-PMIC power management into a single, validated system.

It provides low jitter and predictable latency across Electronic Control Units (ECUs) and in-vehicle networks, supporting Quality of Service (QoS). Thus making it scalable to support latency-sensitive applications including audio over Ethernet, high-performance compute (HPC) integration and real-time control.

Sebastien Clamagirand, SVP and GM, NXP Semiconductors, said, “Software defined vehicles require a fundamentally different approach to vehicle architecture – one that delivers deterministic timing across both compute and network at scale. We are helping OEMs overcome the limitations of legacy architectures, reduce integration risk and accelerate development of scalable zonal systems.”

Terrisa Chung, Vice-President and General Manager, Quanta, added, “Quanta’s Adaptive Zonal System is designed to deliver deterministic performance and system level scalability for next generation vehicle platforms. Working with NXP, we’re providing a ready to deploy foundation that helps our customers move faster while meeting strict timing, safety, and reliability requirements.”

The partnership aims to streamline the transition from domain-based designs to zonal E/E systems. NXP and Quanta have also confirmed they are working toward aligning this solution with the NXP CoreRide zonal reference system to support broader SDV integration in future vehicle programs.

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Aptiv has announced that Volvo Cars has awarded its Gen 8 radar platform for deployment in future vehicle programs, with production scheduled to begin in 2028.

The partnership centres on enhancing the perception capabilities of Volvo’s Advanced Driver Assistance Systems (ADAS) as both companies shift toward software-defined architectures.

The Gen 8 platform is Aptiv's latest advancement in high-resolution sensing, utilising proprietary antenna and silicon designs to support AI-powered and machine learning-powered safety functions.

Key Capabilities of the Gen 8 Radar Platform:

• High-Resolution Perception: Superior angular measurement and discrimination allow the system to resolve complex driving scenarios with high precision.
• Environmental Robustness: Engineered to maintain high performance in adverse weather and challenging urban environments where traditional sensors may struggle.
• Sensor Fusion Optimisation: Designed for seamless integration with cameras and other perception layers, providing a more reliable "world model" for the vehicle's computer.
• Scalability: A modular architecture that allows Volvo to deploy the technology across various vehicle lines and global markets efficiently.

Alwin Bakkenes, Head of Software Engineering at Volvo Cars, said, “Volvo Cars has always been guided by a belief that safety should be designed around people and real‑world driving conditions. Aptiv’s Gen 8 radar platform helps us deliver even more robust perception capabilities to our advanced driver assistance systems across increasingly complex environments and driving scenarios.”

Matthew Cole, Senior Vice President, Sensors & Compute at Aptiv, added: “Volvo Cars’ commitment to protecting people inside and outside the vehicle has set the benchmark for automotive safety. Aptiv’s Gen 8 radar was designed with that same purpose in mind: delivering dependable, high-resolution perception that performs in a wide range of use cases and environmental conditions. We’re proud to support Volvo Cars as they continue advancing their safety ambitions across future vehicle programs.”

The collaboration reinforces Volvo Cars' long-term safety mission – aiming for a future with zero accidents, while positioning Aptiv as a primary technology partner in the evolution of intelligent, software-led vehicle safety systems.

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Mercedes-Benz has announced a strategic partnership with the German low-code automation provider n8n to roll out a global platform for AI-powered workflows.

The initiative is designed to move AI beyond isolated pilot projects and integrate it into everyday operations across R&D, production, sales, HR and IT.

The partnership emphasises digital sovereignty, with Mercedes-Benz utilising n8n’s self-hosted, cloud-agnostic model to maintain strict control over its data and processes within a European technology ecosystem.

The strategy categorises employees into ‘Takers’ (users), ‘Makers’ (who design workflows via n8n) and ‘Builders’ (who develop advanced software). The goal is to empower ‘Makers’ to actively shape AI-driven processes without deep coding knowledge.

n8n will act as the ‘glue’ in the Mercedes-Benz technology stack, connecting existing systems and enabling the deployment of AI agents that can resolve issues and make data-driven decisions autonomously.

The rollout follows a massive company-wide hackathon involving over 1,500 participants. The most successful use cases from this event are currently being transitioned into full-scale operational implementation.

Katrin Lehmann, Chief Information Officer, Mercedes-Benz, said, “Scaling AI takes more than technology, it’s about putting it to work in our core business. Together with n8n, we make it easy for our teams at Mercedes-Benz to turn ideas into measurable impact across our value chain and to actively shape how we operate.”

Jan Oberhauser, Founder & CEO, n8n, added, “What we are building together with Mercedes-Benz answers the question of how to move AI from pilot to production at a scale few can achieve.”

By adopting a modular and flexible low-code architecture, Mercedes-Benz aims to increase its ‘innovation velocity.’ The n8n platform allows the company to rapidly iterate on automation ideas while ensuring that the resulting workflows are governed, scalable and integrated with the brand's broader AI ecosystem. This move reinforces Mercedes-Benz’s commitment to an open, software-defined architecture as a primary factor in industrial competitiveness.

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