Skip to main content

Driverless cars? Mother Nature may have a few things to say about that

2015 Honda CR-V
By 2:00 AM, I had been traveling for over 12 hours, hopping between planes and strange airports. As I staggered out to the parking lot to retrieve my press demonstrator, I was ready for my day to be done. Despite my yearning for rest, I faced a two-hour drive through a dark and stormy night over a stretch of rural Illinois freeway that hadn’t been improved since Abraham Lincoln was Commander in Chief.

Fortunately, I had the 2015 Honda CR-V waiting for me, the first accessible car to include meaningful piloted driving technology.

Though packed with piloted-driving tech, the CR-V is not perfect. To my chagrin, this point became quickly clear. On that dark, rain-soaked road, the CR-V’s autonomous tech found and locked onto an old and faded freeway lane marking and attempted to pilot itself across the current flow of traffic.

It was this frightening mistake that inspired in me the strong realization that, when it comes to dealing with Mother Nature, autonomous driving tech still has a long way to go. Current self-driving technology, not least what is found in the CR-V, is certainly impressive. When it comes to rain, snow, and nighttime, however, modern optically based systems are literally in the dark.

State of play

The 2015 Honda CR-V is a great example of where self-driving cars are going, not to mention an impressive piece of kit in its own right. Accordingly, it makes a perfect example with which to judge the current state of piloted-driving proficiency. The core of its self-driving capabilities is the combination of existing systems, including Lane Keeping Assist and Adaptive Cruise Control (ACC).

In most cars, ACC is capable of keeping pace with the flow of traffic on the freeway by using radar to track speed and distance of the vehicle ahead. In conjunction, Lane Keeping Assist uses cameras to find and identify lane markings and warn the driver if he or she strays out of that lane. Some vehicles, like the current Mercedes-Benz E-Class, can autonomously steer the car back in the lane a little. So, too, can the CR-V, as long as the driver keeps his or her hands on the wheel.

How does it do this? The CR-V uses cameras paired with a powerful pattern recognition program to find lane markings. Then this information is sent to the electric power steering, which turns the wheels accordingly. The technology is, in essence, fairly simple. The complicated bit is the creation of a program that can consistently and accurately recognize lane markings in all of their various forms and states of disrepair.

The problem

Admittedly, That sounds great. When I was using the system on that dark and rainy freeway, though, things fell apart. The system constantly cut in and out as it found and lost lane markings. On one notable occasion, it even tried to drag me into the next lane over, as it followed badly covered lane markings from an earlier point in construction.

Why did this happen? It’s not because Honda’s system is defective, or even bad, but because of inherent problems with the sensors. Cameras — like the human eye — work great in daylight and good visibility. When light levels drop and rain increases, their ability to capably capture a full images drops significantly.

2015 Honda CR-V

A rain soaked camera lens, for example, washes out contrast between lane markings and pavement for the camera sensor — or simply obscure them completely. Anyone who has ever tried to take a photo in a darkroom should understand the problem. The reduced input of information, in turn, makes the job of the pattern recognition software more difficult. Computer programs, as a rule, can’t intuit results from incomplete information, something that our brains are actually great at.

As an example, when the CR-V tried to follow an old lane marking, it was obvious to me that we were about to move diagonally across the freeway, because I was capable of taking in the whole picture. The computer program was doggedly doing the only thing it could, however, by follow the markings it recognized.

What I encountered is only the tip of the iceberg … literally. Snow and ice that obscure lane markings make optical systems essentially useless as they cover up everything from lane markings to street signs. So, if this is the case, why even use cameras?

But wait!

Our entire driving infrastructure is based off of human vision. Everything from traffic signs to brake lights are designed with the human eye and brain in mind. For that reason, any automated system that is going to exist in this infrastructure has to be able to use these same symbols. And, right now, the only cost effective way of doing that is by using cameras.

Truly autonomous cars get around some of the problems discussed by augmenting cameras with other more complex sensors, especially LIDAR. The term is a portmanteau of light and radar. This gives a pretty good sense of how it works. On cars, LIDAR systems use a spinning array of lasers that reflect off the world around it, the system utilizes sensors to detect the reflected light, thereby creating a picture of the world around the car.

This system has the advantage of working in far more conditions than an optical camera, though lasers can still be fooled by rain and snow bouncing signals back. But the big problem is that these systems are expensive and bulky, as the massive sensor package on top of Google’s autonomous cars can attest. In fact that system by itself costs around $8,000 — far more than automakers would be willing to spend at this point.

For autonomous cars to get around this challenge, either cameras and their attached computers need to get much better at recognizing the world around them in a broader array of conditions, LIDAR or similar systems need to get much cheaper, or the way we mark our roads needs to start taking robots into account.


To really make the autonomous driving work sensors need to be complemented by Car-2-Car and Car-2-X communication (also referred to as vehicle to vehicle (V2V) and vehicle to infrastructure (V2I)). This will not only allow cars to communicate with each other to fill in sensor gaps, but also receive messages from the road infrastructure itself. The early stages of this technology are being researched and prototyped, but full implementation is a ways off.

While the world waits for cars to start talking to each other, and systems like LIDAR to improve, and, more importantly, get cheaper, optical systems are still going to be the main option. Companies recognize this and are working to get the most out of camera based systems and the software that runs them. Look ahead to our next Road Rave to see what some of those innovations might be.

In the meantime, optically based systems can still do an impressive amount. The Honda CR-V is already able to do what was nearly unimaginable a decade ago; drive itself on the highway. The dream of fully autonomous cars just might not be as close as some companies believe.

Editors' Recommendations

Peter Braun
Former Digital Trends Contributor
Peter is a freelance contributor to Digital Trends and almost a lawyer. He has loved thinking, writing and talking about cars…
Honda says its upcoming Civic Type R will have a top speed of 167 mph. We say, we can’t wait
Honda Civic Type R teaser

After recently confirming that a production version of the Civic Type R will come to Geneva after a multitude of concepts, Honda is now teasing us with images and a few details to get us sufficiently amped for the reveal.

In its latest announcement, Honda emphasized the host of design enhancements that have been developed for the car through extensive aerodynamic testing. A wide front splitter, in conjunction with the side skirts reduce lift and manage the airflow around the car. The front bumper has a shape to it that's designed to prevent air turbulence building up around the front wheels and adding drag.

Read more
Smart windshields, electric turbos, and more tech about to take over your car
road rave coolest tech coming car volvo twin engine technology feature

A lot of car technology is innovative and important, but truth is, not much of it is "world of tomorrow" exciting. Short of the occasional failed attempt at a flying car, innovations that make us feel like we are living in the future are rare. But they do exist.

That's why we wanted to take a look at a few of the most exciting technologies that are being rolled out in the next few years.

Read more
EV vs. PHEV vs. hybrid: What’s the difference?
BMW X5 PHEV charge port

When sizing up options for your next car, you may be figuring out whether to get an electric vehicle, only to discover there are a bunch of variations to consider -- not just hybrids, but plug-in hybrids, extended-range electric vehicles, and fuel cell electric vehicles are just some of the other categories. The depths of EV jargon run so deep that we wrote an entire EV glossary, but for now let's zero in on the difference between electric vehicles, hybrids, and plug-in hybrids. These options blend old tech and new tech in a way that's often practical, cheaper than an EV, and still more efficient than an old-school gasoline car.
What is an electric vehicle?
An electric vehicle skips the internal combustion engine found in most traditional cars in favor of an electric motor. This allows EVs to operate without needing gasoline. Instead, they're powered by an electric battery that will need to be charged regularly, either at your home or at a charging station like a Tesla Supercharger. The Ford Mach-E, Kia EV6, and Rivian R1S are all popular examples of modern EVs.

The electric motor works by way of a rotating magnetic field. Inside the motor, three electromagnets surround a free-floating rotor, which spins based on which magnet is attracting it most. That rotor in turn produces power to the wheels of the car and pushes it forward and backward. Regenerative braking reverses the relationship and turns motion into electricity. While you're slowing to a stop, the force of the turning wheels spins the rotor and generates a charge via the electromagnets in the motor, which in turn goes up into the battery for storage. If you're curious, you can dig into the nuts and bolts of how an electric vehicle works.
What's the difference between a hybrid and a plug-in hybrid?
In short, a hybrid primarily relies on gas with an electric backup, while a plug-in hybrid relies on electric power with a gas backup.

Read more