Skip to main content

Waymo redesigns fifth generation hardware sensor suite

Waymo has redesigned its fifth-generation hardware sensor suite with the aim of enabling the scaled deployment of Waymo Driver autonomous vehicles (AVs).
By Ben Spencer March 16, 2020 Read time: 2 mins
Waymo's self-driving Jaguar I-Pace electric SUV 1 (Source: Waymo)

In a blog post, Satish Jeyachandran, head of hardware at Waymo, says the new 360 Lidar system provides a bird's-eye view of the cars, cyclists and pedestrians surrounding the vehicle. It allows Waymo Driver to navigate the complexities of city driving by distinguishing the opening of a car door a city block away while also allowing its trucks to spot debris hundreds of metres ahead on the highway, he adds.
 
Perimeter Lidars are now placed at four points around the sides of the vehicle to help it navigate tight gaps in city traffic and cover potential blind spots on hilly terrain.
 
According to Jeyachandran, long range cameras and a 360 vision system identify pedestrians and stop signs greater than 500m away.
 
Additionally, a perimeter vision system is expected to work in conjunction with its perimeter Lidars to give Waymo Driver another perspective of objects close to the vehicle.
 
“For example, while our perimeter Lidars detect obstacles directly in front of the vehicle with precision, our perimeter cameras provide our machine learning algorithms additional details to reliably identify objects, providing more context to the traffic scene,” Jeyachandran explains.
 
He claims that a peripheral vision system allows Waymo to ‘peek’ around a truck driving in front to determine whether it is safe to overtake or wait.
 
Waymo has also redesigned the architecture, outputs and signal processing capabilities of the hardware sensor suite to create an “imaging radar system for self-driving”.
 
“Our next-generation radar can also see objects at great distances, including detecting a motorcyclist from hundreds of metres away,” he continues. “Like with our other long-range sensors, being able to accurately detect objects at greater distances gives us a longer reaction time to make a more comfortable experience for our riders.”
 
The company has integrated its new generation of sensors on its Jaguar I-PACE vehicle.
 
“With the first of these new vehicles, we’ve completed comprehensive module-level and system-level tests to ensure our next-generation hardware can withstand whatever the roads throw at it - from stormy weather and salted roads, to extreme heat and dirt storms,” Jeyachandran concludes.

 

Related Content

  • July 7, 2017
    Bristol’s buses trial CycleEye detection system
    Fusion Processing’s Jim Hutchinson looks at a two-year trial of the company’s cyclist detection system. Is cycling in a city dangerous? Well, that depends where you are and how you view statistics. Malmö is far more bike-friendly than Mumbai and the risk can either be perceived as small - one death per 29 million miles cycled in the UK in 2013 - or large - that equated to 109 deaths in the same year. Whatever your personal take on the data, the effect of these accidents can be felt indirectly too. News of c
  • October 21, 2022
    Ouster says REV7 sensor is 'biggest leap'
    Lidar specialist says new product 'doubles the range' of its existing sensors
  • March 16, 2016
    Observing driver behaviour in real traffic condition
    The EU’s UDRIVE project will investigate driver behaviour in terms of road safety and the decarbonisation of road transport, as Nicole van Nes and Silvia Curbelo explain. There were nearly 25,700 fatalities on European Union (EU) roads in 2014 or, to look it another way, roughly 70 people are killed in traffic accidents on European roads every day - and many more are injured. Around 22% of the fatalities are pedestrians, 15% will be motorcycle riders and 8% cyclists. So despite the improvements in road safe
  • June 30, 2016
    IR’s invisible benefit for traffic surveillance and enforcement
    Advances in vision technology are enhancing traffic surveillance and enforcement applications. Variable lighting conditions have long been a stumbling block for vision technology applications in the transport sector. With applications such as ANPR, the read-rate may vary between daylight and night and can be adversely affected by glare and low sun. Madrid, Spain-based Lector Vision had these considerations in mind when designing its Traffic Eye ANPR system, which combines off-the-shelf and custom hardware