Self-driving truck

A self-driving truck, also known as an autonomous truck or robo-truck, is an application of self-driving technology aiming to create trucks that can operate without human input. Alongside light, medium, and heavy-duty trucks, many companies are developing self-driving technology in semi trucks to automate highway driving in the delivery process. In September 2022, Guidehouse Insights listed Waymo, Aurora, TuSimple, Gatik, PlusAI, Kodiak Robotics, Daimler Truck, Einride, Locomation, and Embark as the top 10 vendors in automated trucking. And, Transport Topics in November 2022 is listing fourteen companies to know about self-driving truck; Aurora, Waymo, TuSimple, Gatik, Locomation, Torc Robotics, Waabi, Einride, PlusAI, Embark, Kodiak Robotics, Robotic Research, Outrider and Pronto. Self-driving trucks are expected to be on highways in the United States by 2027. Several government agencies in the U.S. and Europe have announced new legislation surrounding the use of autonomous trucks. Some challenges of bringing self-driving trucks on public roads include, but are not limited to, road safety, the need for human drivers inside the vehicle, and the lack of specific regulations surrounding driverless vehicles. File:Autonomous_truck_cab_on_display_(44825419221).jpg|[[Embark Trucks]] autonomous semi cab on display File:Kodiak Robotics self-driving truck 01.jpg|Kodiak Robotics self-driving truck on the street As recorded in June 1995 in Popular Science Magazine, self-driving trucks were being developed for combat convoys, whereby only the lead truck would be driven by a human and the following trucks would rely on satellite navigation, an inertial guidance system and ground-speed sensors. Komatsu made the earliest development in autonomous trucks testing a fleet of five Ultra Class trucks in Codelco Mine Radomiro Tomic in Chile in 2005 then in 2007 was installed the first working fleet in the mine Gabriela Mistral in Chile, also a Codelco property. Lockheed Martin, with funding from the U.S.

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Self-driving truck

Vehicular automation

Vehicular automation involves the use of mechatronics, artificial intelligence, and multi-agent systems to assist the operator of a vehicle (car, aircraft, watercraft, or otherwise). These features and the vehicles employing them may be labeled as intelligent or smart. A vehicle using automation for difficult tasks, especially navigation, to ease but not entirely replace human input, may be referred to as semi-autonomous, whereas a vehicle relying solely on automation is called robotic or autonomous.

Self-driving car

A self-driving car, also known as an autonomous car, driverless car, or robotic car (robo-car), is a car that is capable of traveling without human input. Self-driving cars use sensors to perceive their surroundings, such as optical and thermographic cameras, radar, lidar, ultrasound/sonar, GPS, odometry and inertial measurement units. Control systems interpret sensory information to create a three-dimensional model of the vehicle's surroundings.

CIVIL-459: Deep learning for autonomous vehicles

Deep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects,

Covers applied machine learning concepts, interactive sessions, exercises, software tools, and practical aspects for student engagement.

Explores safe automation challenges for intelligent systems, focusing on self-driving cars and proposing solutions based on system dynamics and filters.

Delves into developing intelligence systems for predicting human behavior and enhancing AI-driven technologies' safety and efficiency.