Editorial Feature

Using Advanced Driving Assistance in Electric Vehicles

Image Credits: metamorworks/shutterstock.com

In 2015 (the latest available data), there were 1.75 million road accidents involving casualties in the US, and 37,150 deaths due to road accidents in 2017 (OECD, 2019).

Advanced Driving Assistance Systems

Globally, there are over 3,000 deaths caused by road accidents every day, and for young people aged 15-29 car accidents are the leading cause of death. Electric vehicles (EVs) are responding to these concerning statistics – and the ever-increasing presence of passenger vehicles on our roads and in our cities – by incorporating a new breed of car safety measures: advanced driving assistance systems (ADAS).

ADASs are electronic systems that help car drivers by automating, adapting and enhancing vehicle systems to make driving a safer and better experience. An ADAS takes inputs from multiple sources of data including radar, LiDAR and image sensors, and computer vision. Smart ADASs connected to the Internet of Things (IoT) by mobile data or WiFi also take inputs from other vehicles (knowns as vehicle-to-vehicle, V2V) and surrounding infrastructure such as buildings and roads (vehicle-to-vehicle, V2X).

Driving Enhancements

These inputs can then be used to automate vehicle features like lighting, road and lane positioning, collision avoidance, and pedestrian crash avoidance mitigation (PCAM). ADASs also help drivers (and, increasingly, human self-driving car operators) by providing useful information through sounds and head-up displays (HUDs) such as lane departure warnings, alerts to other cars or potential dangers, navigation information and traffic sign recognition, and blind-spot and rear-view parking signaling. Examples of driving enhancements enabled by ADASs include anti-lock brakes, adaptive cruise control, traction control, automatic parking, crosswind stabilization, hill descent control, tire pressure monitoring systems, and rain sensors.

Autopilot Software

EVs – which are rapidly growing in terms of market share for new passenger vehicles – are at the forefront of adopting these new technologies. Electric car specialist, Tesla, introduced its pioneering Autopilot software in 2014, and over 47 million miles have been driven with Autopilot mode turned on in Tesla cars since then. Tesla has reported findings from the data these miles provide, that drivers are 50% less likely to be involved in a car accident with Autopilot switched on.

Autopilot incorporates numerous ADAS technologies to assist, automate and enhance the driving experience. Adaptive cruise control utilizes a forward-looking radar installed in the lower grille of the vehicle to maintain a relatively consistent speed (saving energy) while simultaneously preserving a safe distance from the vehicle in front. Tesla’s adaptive cruise control slows the vehicle when it approaches interstate ramps when a car crosses in front and on tight curves. It can also differentiate between different types of vehicle.

Other features of Tesla’s Autopilot system include autopark and summon, which automatically park the vehicle and retrieve it from a parking space, autosteer which maintains a central lane position, automatic lighting adjustment, and front or side collision detection and avoidance including automatic braking and swerving.

Conscious of the need to protect some drivers from overreliance on these safety features, Autopilot also includes an alert system which does not allow the driver to take their hands off the steering wheel for long periods. Autopilot alerts drivers to excessive inattention and automatically turns off until the car is parked if the driver ignores three alerts within one hour.

Nissan Pro-Pilot Assist ADAS

Nissan’s electric Leaf vehicles use the Nissan Pro-Pilot Assist ADAS. Pro-Pilot Assist has been sold on over 75,000 vehicles since its launch in Japan in 2016. Pro-Pilot Assist also uses front-facing camera and radar inputs to automate acceleration, steering, and braking in its adaptive cruise control system. Unlike the Tesla Autopilot, Nissan’s stated goal for the Pro-Pilot Assist is to assist drivers, not replace them. For this reason, it has a strong emphasis on ensuring drivers remain active while reducing their workload in multi-lane driving situations, employing alarms and automatically stopping if the system detects the driver is not using it as intended.

In addition to these original equipment manufacturers (OEMs) ADASs, aftermarket systems are also available. Mobileye, for example, specializes in vision-based collision prevention and mitigation and began selling its aftermarket system in 2006. Mobileye’s aftermarket product is available worldwide, and the company (acquired by Intel in 2017 for $15.3 billion), is also in partnership with a number of automobile manufacturers including BMW and Volkswagen who include their technology in production models.


The global market for ADASs is expected to grow at a 15.9% compound annual growth rate (CAGR) to 2025 and is currently valued at an estimated $11.83 billion. Combined with the rapid growth of the EV market, this will lead the majority of cars on the roads in the future to come equipped with these safety and enhancement technologies.

Sources and Further Reading

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Ben Pilkington

Written by

Ben Pilkington

Ben Pilkington is a freelance writer who is interested in society and technology. He enjoys learning how the latest scientific developments can affect us and imagining what will be possible in the future. Since completing graduate studies at Oxford University in 2016, Ben has reported on developments in computer software, the UK technology industry, digital rights and privacy, industrial automation, IoT, AI, additive manufacturing, sustainability, and clean technology.


Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Pilkington, Ben. (2019, August 28). Using Advanced Driving Assistance in Electric Vehicles. AZoCleantech. Retrieved on June 15, 2024 from https://www.azocleantech.com/article.aspx?ArticleID=943.

  • MLA

    Pilkington, Ben. "Using Advanced Driving Assistance in Electric Vehicles". AZoCleantech. 15 June 2024. <https://www.azocleantech.com/article.aspx?ArticleID=943>.

  • Chicago

    Pilkington, Ben. "Using Advanced Driving Assistance in Electric Vehicles". AZoCleantech. https://www.azocleantech.com/article.aspx?ArticleID=943. (accessed June 15, 2024).

  • Harvard

    Pilkington, Ben. 2019. Using Advanced Driving Assistance in Electric Vehicles. AZoCleantech, viewed 15 June 2024, https://www.azocleantech.com/article.aspx?ArticleID=943.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this article?

Leave your feedback
Your comment type

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.