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Shyam Sundar Pal Shyam Sundar Pal Written by Shyam Sundar Pal, Technical Architect, Technology Group
on 12 Sep 2023

As the automotive industry races towards a future dominated by electric, connected, autonomous, and shared vehicles—often referred to as ACES—the role of Vehicle-to-Everything (V2X) communication is emerging as a critical pillar. This paradigm shift is introducing new dimensions to vehicle safety, security, navigation, and traffic optimization, ushering in an era of unprecedented possibilities. From Vehicle-to-Grid (V2G) interactions to enhancing autonomous navigation, V2X technology is reshaping the landscape of modern transportation.

V2G: Powering a New Electric Era

The migration from Internal Combustion Engines (ICE) to Electric Vehicles (EVs) is a hallmark of contemporary mobility trends. As EVs gain prominence, high-performance batteries have become their lifeblood. Frequent recharging from the electric power distribution system is essential, raising questions of battery efficiency, capacity, and charging times. Enter V2G—the innovative technology that allows EVs to not only charge from the grid but also discharge power back into it. This dynamic two-way power exchange optimizes battery use, offering drivers flexibility and an enhanced EV experience.

V2P: Nurturing Pedestrian Safety

Safety lies at the core of automotive innovation, extending beyond the vehicle to encompass pedestrians. Vehicle-to-Pedestrian (V2P) technology utilizes advanced sensors to detect nearby pedestrians, striving to prevent collisions and ensuing accidents. Categorized into groups like cyclists, passers-by, children, and animals, V2P is engineered to mitigate risks and improve road safety for all.

V2I: Conversing with Infrastructure

Vehicle-to-Infrastructure (V2I) communication interfaces with local infrastructure through connected servers, dispensing crucial information to vehicles. By relaying real-time data about traffic, road conditions, and other vital details, V2I ensures that vehicles navigate efficiently and safely.

V2V: The future of Vehicle Communication

The symphony of vehicle communication comes alive through Vehicle-to-Vehicle (V2V) interaction. In a dance of data, connected vehicles share critical navigational insights using various communication methods. The rise of Device-to-Device (D2D) networks, powered by Proximity technology (ProSe), enables seamless direct communication among vehicles.

V2N: Pioneering the 5G Revolution

Vehicle-to-Network (V2N) communication propels the integration of vehicles into the cellular network fabric. While the advent of 4G LTE (C-V2X) addressed numerous vehicular communication needs, it struggled with time-critical exchanges due to latency constraints. The 5G NR wireless technology, particularly with mm wave technology, bridges this gap, facilitating instant, time-critical message exchange between vehicles.

V2C: Connecting Vehicles to the Cloud

Vehicle-to-Cloud (V2C) connectivity links vehicles to cloud infrastructure, enabling them to access vital, up-to-date information. As vehicles incorporate a myriad of Electronic Control Units (ECUs) operating software, Over-The-Air (OTA) updates are vital. V2C facilitates this by seamlessly upgrading vehicle software, ensuring peak performance and safety.

V2L and V2G: Harnessing Grid Power

Vehicle-to-Load (V2L) and Vehicle-to-Grid (V2G) technologies harness the power of the grid, redefining how vehicles interact with energy networks. V2L optimizes battery usage, allowing excess power to be shared with the grid and subsequently reclaimed when needed. V2G, predominantly for Battery Electric Vehicles (BEVs), empowers users to exchange battery charge and discharge with the power grid, enhancing vehicle adaptability and grid resilience.

ACES and V2X: A Convergence of Excellence

The fusion of Automated, Connected, Electric, and Shared (ACES) vehicles with V2X technology ushers in a new era of vehicular excellence, with profound impacts across various domains:

  1. Safety: V2X fosters adherence to safety standards across vehicle types. From visual alerts using hazard lights to advanced GPS-based warnings, safety features extend beyond the vehicle, protecting both passengers and pedestrians.
  2. Security: With an array of electronic components and connected systems, vehicles are vulnerable to security threats. Ensuring the protection of Electronic Control Units (ECUs) against unauthorized access is a pivotal focus of V2X development.
  3. Autonomous Navigation: Equipped with a diverse array of sensors—such as cameras, LiDAR, radar, lasers, and ultrasonic sensors—autonomous vehicles perceive their environment. Data from these sensors, processed using sensor fusion techniques, drive dynamic navigation maps and enable crucial capabilities like object detection and avoidance.
  4. Traffic Optimization/Management: V2X data fuels predictive traffic optimization, offering insights into congestion levels and suggesting alternative routes based on real-time vehicle information. This technological underpinning transforms traffic management on both urban roads and highways.

Vehicle Navigation and Mapping:


The confluence of V2X and vehicle navigation and mapping unfold through a complex network of components and technologies. Here are some of the technologies involved in the seamless process: 

Sensor Fusion: Several sensors are used to assist the vehicle for ADAS feature implementation.
The below sensors are used to cater different purpose of ADAS feature:

    • Camera: Object Detection
        ◦ Object type detection
        ◦ Detected object display on Map
    • Lidar:3D surrounding view
        ◦ 3D point cloud data generation
        ◦ 3D map generation
    • Ultrasonic: Near object detection
        ◦ Object 4 meter around vehicle
        ◦ Obstacle avoidance and collision  
    • Laser: Short Distance Measurement
        ◦ Laser Distance Sensors Time of Flight
        ◦ Dynamic Map Generation
    • Radar: Long Distance Measurement
        ◦ Less sensitive to weather
        ◦ Long Distance range detection
        ◦ Position Estimation
    • IMU: Vehicle Orientation
        ◦ Vehicle orientation determination
        ◦ Localize vehicle

Mapping the Terrain

When it comes to map generation, diverse sensors orchestrate the creation of dynamic maps. These dynamic maps form the backbone for deciphering ongoing traffic dynamics and identifying potential obstacles in close proximity. Laser technology plays a critical role, actively generating dynamic maps that swiftly identify obstacles, ensuring collision avoidance. Simultaneously, Lidar takes on the role of producing a three-dimensional map, utilizing its Point Cloud data to deliver a comprehensive spatial perspective.

Unveiling Hidden Objects

Object detection is a cornerstone of vehicular safety. Its prowess extends to identifying objects by type and foreseeing potential collisions. This intricate workings between sensors and algorithms empowers vehicles to navigate with heightened awareness, deftly avoiding potential hazards.

Navigating with Precision

Path planning emerges as a navigational imperative in the world of vehicle movement. This conductor crafts optimal routes using an ensemble of parameters garnered from diverse sources. For instance, V2X supplies invaluable insights into real-time vehicle traffic conditions along the route. Meanwhile, the Map server contributes a static map as a canvas, upon which the dynamic map created by Laser and Lidar is elegantly overlaid. This interplay between data sources masterfully guides vehicles along the most efficient and secure routes.

As the automotive landscape evolves, V2X technology stands as a beacon of innovation, amplifying safety, connectivity, and efficiency across the spectrum of vehicles. The intricate interplay between V2X and the ACES framework is reshaping the future of mobility, promising safer roads, optimized traffic, and a truly connected driving experience.


About the author

Shyam has 18 years of experience in IT industry and academics with an extensive knowledge in design, development and testing of software products in Automotive and Telecom. He is currently engaged in developing Software Defined Vehicles (SDV) and Model-Based Software Design (MBD). He developed the architecture and led the team for development of navigation stack for self-driving vehicles. His technical expertise includes development of Base Software and Application Software of Classic Autosar. Shyam holds 27 granted patents in the area of self-driving vehicle navigation stack, path planning, mapping and wireless 4G LTE & 5G.

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