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How experiences shape our view of safety at Torc

on July 1, 2020

The strength of Torc’s winning teams comes in part from the diverse individual contributions from each team member. A variety of backgrounds, life experiences, and viewpoints can contribute to a wealth of perspectives on the importance of safety.  In Part 1 of our National Safety Month blog highlight, we outlined how Torc’rs view safety as

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Jim DudleyHow experiences shape our view of safety at Torc

Safety: Our metric for success in autonomous vehicle development

on June 24, 2020

With the commercialization of autonomous vehicles frequently referred to as a “race,” the discussion of competitiveness often turns to which company holds the best technological advantage over the others.  However, while Torc is notorious among internal teams for setting aggressive technological goals, we also have the perspective of over a decade of commercializing self-driving technology

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Jim DudleySafety: Our metric for success in autonomous vehicle development

Day 15 Capability: Navigate city roads at night

on November 28, 2017

Driving at night presents its own set of challenges for self-driving cars. However, night driving in Las Vegas brings the challenges of city driving as well. Bright signs provide constant change to the lighting conditions, and traffic congestion can lead to unpredictable situations. The Torc self-driving vehicles use active sensors, such as LIDAR and RADAR,

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Jim DudleyDay 15 Capability: Navigate city roads at night

Day 14 Capability: Perform high speed merge

on November 27, 2017

Merging onto a densely packed highway is a challenge even for humans. We must track other cars moving at high speeds while the landscape changes every second as vehicles traverse across lanes. Our self-driving car’s camera and sensor suite creates a comprehensive image of our car’s surroundings, and our autonomous system works to predict other

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Jim DudleyDay 14 Capability: Perform high speed merge

Day 13 Capability: Perform U-turns

on November 22, 2017

In order for a self-driving car to make a U-turn, it must be able to maneuver into the correct lane, detect traffic lights (if applicable), and detect and track any vehicles or pedestrians at the intersection to ensure its path is clear. The car also has to track other turning vehicles to determine their speed

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Jim DudleyDay 13 Capability: Perform U-turns

Day 12 Capability: React to lead vehicle braking

on November 21, 2017

In late 2016, NHTSA published data showing the distribution of pre-crash scenarios. It showed 29 percent of crashes are rear-end crashes. The NHTSA report also lists driver contributing factors in crashes that include being under the influence of alcohol, obscured vision, and distracted driving. Self-driving vehicles have a myriad of sensors and cameras to “see”

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Jim DudleyDay 12 Capability: React to lead vehicle braking

Day 11 Capability: Navigating Tunnels

on November 20, 2017

This video demonstrates the Torc self-driving car smoothly navigating a tunnel—entering and exiting a multi-lane tunnel in bright daylight. Navigating tunnels presents unique challenges for self-driving cars due to the sharply contrasting lighting outside and inside the tunnel. Additionally, GPS has limitations in position accuracy, and requires a clear view of the sky to be

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Jim DudleyDay 11 Capability: Navigating Tunnels

Day 10 Capability: Increase speed for needed lane changes

on November 17, 2017

Humans observe and track other cars on the road to make smart decisions about lane changes and passing. Our self-driving car is “trained” to make decisions in a similar way. Here, the self-driving car has merged onto the road in the right lane and needs to change lanes to enter a turning lane at the

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Jim DudleyDay 10 Capability: Increase speed for needed lane changes

Day 9 Capability: Detect and respond to yellow lights

on November 16, 2017

We use our cameras and sensors coupled with high-performance artificial intelligence to detect traffic lights and make intelligent decisions. The system uses information about the environment, speed, and other cars to decide whether to slow for a yellow light, or to continue through the intersection. In this video, The Torc self-driving car executes a lane

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Jim DudleyDay 9 Capability: Detect and respond to yellow lights

Day 8 Capability: Respond to unexpected vehicle maneuvers

on November 15, 2017

Our autonomous system is designed to predict and react to vehicle movement – even when the vehicle is performing unusual maneuvers. In this video from one of our roof-mounted cameras, the Torc car is approaching a stop light when a vehicle crosses multiple lanes in front of the car. Our autonomous system intelligently tracks the

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Jim DudleyDay 8 Capability: Respond to unexpected vehicle maneuvers