In 2017, after nearly a decade of developing self-driving technology for passenger cars, we launched our trucking and local delivery program now known as Waymo Via. Since then, our autonomous Class 8 trucks have been tested in a wide variety of cities and environments in California, Georgia, Arizona, New Mexico and Texas. Utilizing the same core technology stack across all of our vehicles allows us to bring fully driverless trucks to the market safely and quickly.
The same way that software and hardware components power our phones and tablets, the Waymo Driver is the foundation for all our vehicles, whether it’s one of our cars navigating the busy streets of San Francisco, a van delivering packages to a local neighborhood, or an 18-wheeler truck driving down the highway. Using the same core technology and infrastructure allows each vehicle platform to benefit from 20 million self-driven miles on public roads and over 15 billion miles in simulation. Now, our trucking efforts help further advance the Waymo Driver by unlocking more freeway driving capabilities for our entire fleet.
Navigating complexities of truck driving
Even if you’ve never been behind the wheel of a truck before, many of us have driven on the roads alongside them and can imagine the difficulties of this job. Driving an 80,000lb semi-truck at 65mph, merging into fast-moving traffic, dealing with blind spots, trying to keep the truck and trailer in line with only about 8 inches on either side to spare, constantly checking your mirrors to keep an eye on the trailer and everyone else on the road — these are just a handful of challenges truck drivers must grapple with.
Not only is truck driving a tough job, but serious crashes can also occur. More than one in three long-haul truck drivers have experienced a serious crash during their career. The trucking industry values safety deeply and is constantly seeking innovations to improve statistics like these. By bringing self-driving technology to trucking, we can make every mile traveled safer.
In order to identify the main challenges of truck driving — from construction zones, to potentially larger blind spots, to trailer movements that can vary with different types of loads, to slower acceleration and braking — we utilize not only our experience building self-driving technology, but also the wealth of knowledge gained from professional truck drivers. As part of our testing program, Waymo partners with test drivers who are trucking industry veterans with more than 20 years of invaluable expertise to help inform our approach.
Jon Rainwater, an experienced truck driver who provides instruction to the test drivers for Waymo Via, says: “By working with the engineering teams and sharing all about truck behavior and the rules of the road, I’m helping the Waymo Driver see and learn what I have. It’s my job to impart the lessons I’ve learned the hard way, so that the Waymo Driver is the safest it can be. That is the largest impact I can have—knowing that society will benefit from my lived experience for years and years to come.”
Designed for scale and engineered to tackle diverse driving environments
When designing a new platform, we work closely with our OEM partners to ensure we can integrate our Waymo Driver seamlessly into their vehicles and manufacture them easily. We begin this process by using our most recent self-driving system, comprised of radar, lidar, cameras, and compute and adapt it to the new vehicle, optimizing it for the various platform requirements, such as the variation in potential blind spots.
Each generation of our hardware suite is informed by more than a decade’s worth of our experience and millions of miles of on-road testing. This experience provides us an understanding of the edge cases that self-driving technology needs to handle to take people and things safely from A to B.
Compared to passenger vehicles, trucks spend a lot more time on freeways, which are higher-speed environments. They also have a lot more mass, are slower to accelerate and brake than passenger cars, requiring a distance of nearly two football fields to come to a stop, and they have trailers that can move independently from the tractor. Therefore, when configuring the self-driving system for our trucks, we take into account that our trucks require more time and space to maneuver and can have different blind spots than cars. To accommodate for these differences, we increased the number of sensors we apply to the trucks. The most noticeable difference is that our trucks feature two perception domes versus the single iconic perception dome on our passenger cars. The dual perception domes on our trucks help increase rear visibility by reducing blind spots caused by the trailer.
Another thing we have learned from our over 20 million miles of on-road testing is the importance of redundancies in safety. Unlike with passenger cars, which already come equipped with multiple levels of redundancy, you can’t order or easily build a truck with all of the safety features necessary for self-driving, such as redundant braking and steering. The trucking industry isn’t as far down this path yet, but we’re using everything we’ve learned to work closely with our OEM partners and suppliers to equip our trucks with the same level of safety and redundancy.
Advancing the Waymo Driver’s capabilities across platforms
Machine learning plays a significant role in addressing some of the key freeway driving requirements needed in perception, prediction, and planning. We use the same core algorithms across all types of vehicles, but we’re fine-tuning them for trucks and freeway driving specifically. Although our passenger cars have been driving on freeway segments for quite a while now, having vehicles that spend nearly all their time on the highway, allows us to learn more about this environment and better prepare for its challenges.
Even routine maneuvers such as lane changing can be challenging for an 18-wheeler truck driving at freeway speed. Turns become wider and can take unique shapes due to the trailer movements. The Waymo Driver can see objects at great distances, which allows it to respond to objects earlier and maneuver more smoothly.
We encounter several situations driving on freeways that we do not frequently see on surface streets, including navigating metering lights when getting onto a ramp and moving over a lane when another vehicle stops on the shoulder to give them room. Dealing with construction zones and median crossovers that direct traffic to the “wrong” side of the road can also be more challenging on a freeway. Training the Waymo Driver to navigate a variety of these scenarios allows us to unlock additional freeway driving capabilities not only for our trucks but for the entire fleet.
Ensuring reliability through testing
Freeway driving requires exceptionally high reliability from every part of the self-driving system. The Waymo Driver and its applicable platforms go through rigorous testing and validation processes that we’ve developed to ensure the safety and reliability of our system. This includes base vehicle and hardware level reliability and durability testing, as well as validating our software through simulation, evaluation techniques, structured testing and public road operations with trained drivers.
For example, simulation allows us to rigorously test and prepare our system to handle many trucking-specific challenges. In a simulated environment, we can recreate any scene — experienced or new — including other drivers’ behavior.
As we continue to develop the hardware and software components of the Waymo Driver to power trucks, our technical progress will carry over into all other vehicle platforms, including passenger cars. At Waymo, we’re fortunate to have some of the greatest minds working on honing this technology and we’re looking for more people to join our growing team and help us make roads safer for everyone. Learn more at waymo.com/joinus.