Communication Infrastructures for Self-Driving Vehicles (2024)

Significant advancements in the car manufacturing industry have led to true self-driving vehicles. Last year, Mercedes-Benz became the first company to obtain approval of their Level 3 autonomous driving system. Tesla has claimed to be very close to having the ability to manufacture fully self-driving cars. However, as of the end of 2021, no vehicle sold in the U.S. market had a Level 3 or higher automated driving system. Last year, Germany amended its Road Traffic Act to accommodate the deployment of Level 4 systems. The development of autonomous vehicles still faces many technological and legal challenges. One important question is whether self-driving cars can navigate safely without a consistent internet connection, something Tesla recently claimed to be possible. Would flawless data transfer be inevitably required to elevate driving systems to a higher, more automated level? The amended German law requires a self-driving car to have a technical supervisor who deactivates the vehicle or authorizes driving maneuvers. Assuming that the technical supervisor remotely monitors one or more automated vehicles, a certain level of internet connectivity would be required to use self-driving cars. This article will explore the available options of data transmission and the attendant technical and legal challenges.

Cellular Connectivity

Autonomous vehicles are expected to generate about forty (40) terabytes of data from sensors and download data as they are connected to each other and other equipment on the road. One of the key technologies that may provide an adequate platform to transmit this enormous amount of data with a transmission speed that enables self-driving cars to make effective decisions in real-time road conditions is 5G technology. However, cellular networks do not have 100 percent coverage; access in rural areas coverage is typically spotty; and vehicles are unable to function safely in the absence of required data. In big cities where tall buildings are clustered together, the concrete and metal structures often disrupt cellular communication. Cellular networks alone, therefore, would not be able to provide the global data transmission platform required to operate self-driving vehicles.

High Latency of GSO Satellite Connection

There is a new generation of satellite terminals that are designed to provide broadband communication to moving vehicles. Known as Earth Stations in Motion (ESIM), these terminals use small antennas with tracking systems that allow two-way, high-speed communication with land vehicles, maritime vessels, and aircraft. ESIM platforms are different from those of fixed ground stations. ESIM terminals use very small antennas, small enough to be installed on a vehicle. The system also features a tracking device that is required to maintain accurate orientation to the target at all times. Automakers are already exploring the use of satellite technology to support their self-driving vehicles. The Chinese Zheijiang Geely Holding Group has plans to use a satellite to guide self-driving cars. Last March, SpaceX filed an application for a license to operate its Starlink constellation with ESIM.

The problem with using geostationary (GSO) satellites for self-driving cars is high latency. Latency is the time it takes for a data packet to travel across the network, from one point on the network to another. In the case of self-driving vehicles, it is the time it takes for the data packet to travel between the vehicle and the satellite. Because they are very far from Earth, over 22,000 miles away, GSO satellites have at least 250 milliseconds (ms) latency. By comparison, cellular network signal latency is about 10ms. Real-time data is a critical component to ensure safe operation for self-driving cars. Because of the distance that the data must travel, it is very doubtful that GSO satellites would ever provide a feasible communication method for self-driving vehicles.

Low Earth Satellite Constellations may be the Solution

Conversely, very low Earth orbit (VLEO) satellite systems operate at an altitude range of 200-330 km (124 miles–186 miles). These VLEO systems have the potential for very low latency of less than 10ms. VLEO communication could potentially be very similar or even better than terrestrial broadband communication. Therefore, satellite constellations like SpaceX’s Starlink system could be a feasible way to safely operate autonomous cars.

Latency, however, is not the only obstacle that must be overcome for self-driving cars to operate safely while relying on satellites for data transmission. The communication between the vehicle and the satellite may be delayed by signal loss because of signal obstructions, weather conditions, or antenna misalignment, which would require thorough regulatory oversight to ensure that ESIM activity did not disrupt other satellite communication.

Legislative History of Satellite Connection on Moving Objects

The rules and regulation of the Federal Communication Commission (FCC) are laid out in Title 47 of the Code of Federal Regulations (CFR). The FCC defines the term mobile Earth station as an Earth station in the mobile-satellite service intended to be used while in motion or during halts at unspecified points [47 CFR § 25.103]. The FCC has divided the mobile Earth station into three categories: Earth stations on vessels (ESV), which are Earth stations onboard craft designed for traveling on water, receiving from and transmitting to fixed-satellite service space stations [47 CFR § 25.103]; Earth stations that operate aboard an aircraft that receives from and transmits to fixed-satellite service space stations [47 CFR § 25.103 ]; and vehicle-mounted Earth stations (VMES), which is defined as an Earth station operating from a motorized vehicle that travels primarily on land that receives from and transmits to fixed-satellite service space stations and operates within the United States [47 CFR § 25.103].

Since low latency and uninterrupted data transmission are essential for automated driving systems, orientation errors would be a great problem for VMES systems and self-driving vehicles. Errors in orientation toward a satellite could cause interference to other communication systems in the same frequency band. To limit interference, the International Telecommunication Union (ITU) and FCC have established limits on effective isotropic radiated power (EIRP) spectral intensity (ESD) of a transmit terminal in its off-axis directions [47 CFR § 25.218]. Anytime the off-axis limit is exceeded, the signal must shut off from the antenna [47 CFR 25.228(b)]. That might cause significant delay in data transmission that would prevent self-driving cars from receiving information necessary to safely operate.

Just as with human drivers, automated systems are relying on real-time data to make driving decisions when on the road. The necessary information might be gathered by the car using cameras and sensors. Other critical information might be transmitted through cellular or satellite networks. Since none of these methods alone could provide uninterrupted data transmission, the technical solution would likely be an integrated network composed of low-latency VLEO and 5G cellular networks. The FCC retains a crucial role in the development of necessary support for intelligent, self-driven transportation. Last year, the agency unanimously approved a First Report and Order reallocating a majority of the 5.9 GHz band endorsing the new cellular vehicle-to-everything (C-V2X). This new solution combined with VLEO and 5G network might be a step toward creating a communication infrastructure stable enough to support true self-driving cars.

Communication Infrastructures for Self-Driving Vehicles (2024)

FAQs

How will self-driving cars communicate? ›

Communication in autonomous vehicles will be a key technology in autonomous driving. They can benefit from the other vehicles' experiences through the cloud, download data that they have gathered onto freely accessible maps in real time and send danger warnings to their surrounding area via WLAN.

What infrastructure is required for autonomous vehicles? ›

For CAV systems to penetrate mainstream transportation in the future, it is identified that infrastructure guidelines are needed for “hardware” such as road facilities, signage and markings, service stations, as well as for “software” such as operation, control and maintenance, and communication networks.

What is vehicle to vehicle communication in self-driving cars? ›

V2V would be based around a peer-to-peer mesh network where each element of the network (a vehicle) is able to generate, receive and relay messages. With this approach, an expansive network can be created in populated areas without the need for expensive infrastructure.

Which technology employs a mechanism that enables a vehicle to communicate with infrastructure systems such as traffic signals? ›

Roadside Units (RSUs) are hardware devices installed along roads and other infrastructure components, such as traffic signals and signage. RSUs facilitate C-V2X communication between vehicles and the infrastructure, enabling various applications like traffic signal coordination and real-time traffic information.

How can communication works in car? ›

Your car is like a human body:

The Controller Area Network (CAN bus) is the nervous system, enabling communication. In turn, 'nodes' or 'electronic control units' (ECUs) are like parts of the body, interconnected via the CAN bus. Information sensed by one part can be shared with another.

How do vehicles communicate? ›

Vehicle to vehicle communication uses a combination of sensors and wireless technology to allow communication between vehicles to prevent crashes. Up to 90% of all traffic accidents are caused by driver errors and poor decision making.

What are the challenges of autonomous vehicle infrastructure? ›

Autonomous Vehicle Infrastructure

For example, potholes and bumpy terrain present safety and navigation challenges for AVs, and a lot of U.S. roads are in pretty bad shape. A systematic approach to repairs would be useful, facilitating pilot testing in the short term and widespread AV adoption in the longer term.

How will autonomous vehicles change infrastructure? ›

The Center for Urban Transportation Research (CUTR) states that “this reflects only 5 percent utilization of roadway space.”3 The transition to autonomous vehicles assumes a concurrent reduction in lane width (a 25% reduction in freeway lane width if assuming 12 feet to 9 feet) and an increase in roadway capacity (more ...

What is autonomous infrastructure? ›

Unlike traditional networks that require manual and human input for various tasks and decision-making, autonomous networks are designed to self-manage and self-heal without much human intervention.

What is an example of vehicle to infrastructure communication? ›

Pavement lane markings work with automated vehicle sensors to detect lines outside the vision-based spectrum, improving lane detection and traffic safety in even the most extreme weather conditions. Smart Signs: We also need directional signage that is visible to humans and machines in any road condition.

What are 4 ways you can communicate with other vehicles when driving? ›

The communication devices of your car include: turn signals, brake lights, hazard lights, a flash of the headlights, and the horn. Sometimes you may communicate by waving or nodding. Use turn signals every time you turn or change lanes.

What are 5 communication devices in a car? ›

Final answer: Vehicles are equipped with turn signals, brake lights, horns, headlights, and hazard lights as communication devices. These devices signal intentions and warnings to other roadway users, aiding in road safety.

What is vehicle to infrastructure technology? ›

V2I technologies capture vehicle-generated traffic data, wirelessly providing information such as advisories from the infrastructure to the vehicle that inform the driver of safety, mobility, or environment-related conditions.

What allows vehicles and traffic signals to communicate? ›

Expert-Verified Answer. The subject of this question is Computers and Technology. V2I communication, or Vehicle-to-Infrastructure communication, enables vehicles and traffic signals to communicate with each other, alerting drivers of upcoming red lights. It improves traffic flow and enhances safety on the roads.

What is the technology that helps a vehicle remain on its intended path by preventing it from sliding sideways in a turn? ›

Electronic stability control (ESC) takes traction control a step further. This system helps keep the vehicle on its intended path during a turn, to avoid sliding or skidding. It uses a computer linked to a series of sensors—detecting wheel speed, steering angle, sideways motion, and yaw (rotation).

How do car computers communicate? ›

The sensors in each computer can detect things like temperature, air pressure, steering angles, and engine emissions. The data from these sensors move throughout the CAN network and are sent to the rest of the ECUs as a means of communication.

How do driverless cars know when to stop? ›

A driverless car is controlled by a computer program instead of a human driver. It uses cameras and electronic sensors to see the world around it, detecting things like the road, traffic signs, other cars, and pedestrians. Computer scientists write computer programs that tell the car what to do.

How are neural networks used in self-driving cars? ›

The neural networks identify patterns in the data, which are fed to the machine learning algorithms. That data includes images from cameras on self-driving cars from which the neural network learns to identify traffic lights, trees, curbs, pedestrians, street signs and other parts of any given driving environment.

How do self-driving cars know where to go? ›

Autonomous cars create and maintain a map of their surroundings based on a variety of sensors situated in different parts of the vehicle. Radar sensors monitor the position of nearby vehicles. Video cameras detect traffic lights, read road signs, track other vehicles, and look for pedestrians.

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