{"id":957,"date":"2021-09-29T08:44:53","date_gmt":"2021-09-29T08:44:53","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2021\/09\/29\/quick-on-their-fleet-kodiak-builds-flexible-high-performance-self-driving-trucks-on-nvidia-drive\/"},"modified":"2021-09-29T08:44:53","modified_gmt":"2021-09-29T08:44:53","slug":"quick-on-their-fleet-kodiak-builds-flexible-high-performance-self-driving-trucks-on-nvidia-drive","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2021\/09\/29\/quick-on-their-fleet-kodiak-builds-flexible-high-performance-self-driving-trucks-on-nvidia-drive\/","title":{"rendered":"Quick on Their Fleet: Kodiak Builds Flexible, High-Performance Self-Driving Trucks on NVIDIA DRIVE"},"content":{"rendered":"
\n

Autonomous trucks need to lighten the load when it comes to mapping, while still perceiving their surrounding environments reliably.<\/p>\n

That\u2019s the approach Kodiak Robotics, a Silicon Valley-based self-driving truck startup, is taking to deploy safer and more efficient delivery and logistics. Today, the company unveiled its fourth-generation vehicle \u2014 powered by NVIDIA DRIVE Orin<\/a> \u2014 that uses lightweight mapping and a discreet, modular hardware design to achieve level 4 self-driving capabilities<\/a>.<\/p>\n

By avoiding an over-reliance high-definition maps and focusing on a flexible architecture, Kodiak aims to deploy self-driving systems that are always accurate as well as straightforward to install and modify.<\/p>\n

\u201cThe way you manufacture and maintain a system is incredibly important for the trucking industry, fleets must be able to stay up and running,\u201d said Don Burnette, co-founder and CEO of Kodiak.<\/p>\n

This easy adaptability is crucial for an industry experiencing the dual pressures of high demand for delivery and a low supply of drivers.<\/p>\n

E-commerce orders increased nearly 60 percent<\/a> year-over-year in 2020, according to last-mile technology vendor Convey Inc., with 36 percent of shoppers opting for same-day delivery. At the same time, the trucking industry is experiencing a 92 percent turnover rate<\/a> \u2014 the amount of workers joining or leaving the field in a given year \u2014 and the American Trucking Associations estimates it will be short 160,000 drivers by 2028.<\/p>\n

This confluence of factors requires an easy solution for trucking companies to adopt while maintaining road safety.<\/p>\n

Performing Live<\/b><\/h2>\n

Maps<\/a> are critical to autonomous driving, helping self-driving vehicles locate themselves in space and plan routes.<\/p>\n

Rather than rely on pre-constructed HD maps, which may not be updated in real time to reflect road changes such as construction or new traffic patterns, Kodiak vehicles perceive their environment live while using maps primarily for navigation.<\/p>\n

This lightweight mapping strategy requires the vehicle to detect all road objects, signs and more. Such real-time perception requires high-performance, centralized AI compute architected to meet the highest safety standards.<\/p>\n

NVIDIA DRIVE Orin achieves over 250 TOPS and is designed to handle the many applications and deep neural networks that run simultaneously in autonomous vehicles, while achieving systematic safety standards such as ISO 26262 ASIL-D<\/a>.<\/p>\n

<\/p>\n

\"\"<\/p>\n

<\/a>

NVIDIA DRIVE Orin<\/figcaption><\/figure>\n

NVIDIA DRIVE Orin provides the Kodiak Driver with the data and computing power it needs to reliably make and implement decisions \u2014 safely and securely.<\/p>\n

\u201cNVIDIA DRIVE makes it possible to centralize the vehicle\u2019s compute, helping provide a safe and stable path to full autonomy,\u201d Burnette said.<\/p>\n

It\u2019s What\u2019s Not on the Outside That Counts<\/b><\/h2>\n

In keeping with the company\u2019s focus on safety, Kodiak\u2019s autonomous trucks aren\u2019t designed to turn heads.<\/p>\n

The fourth-generation trucks feature a modular and discreet sensor suite in just three locations: a slim \u201ccenter pod\u201d on the front roofline of the truck, and pods integrated into both of the side mirrors. This low-profile sensor placement simplifies installation and maintenance, while increasing safety.<\/p>\n

\u201cWhen you see these trucks, you\u2019re going to ignore them,\u201d Burnette said.<\/p>\n

By building this discreet system with the open and scalable NVIDIA DRIVE platform at its core, Kodiak can continue to focus on flexibility and live perception without sacrificing safety and security.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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