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In traffic flow modeling, the intelligent driver model (IDM) is a time-continuous car-following model for the simulation of freeway and urban traffic. It was developed by Treiber, Hennecke and Helbing in 2000 to improve upon results provided with other "intelligent" driver models such as Gipps' model, which loses realistic properties in the deterministic limit.
There are simple geometric [8] and analytical methods [9] to compute the optimal path. For example, in the case of a wheeled robot, a simple kinematic car model (also known as Dubins' car) for the systems is: ˙ = ˙ = ˙ = where (,) is the car's position, is the heading, the car is moving at a constant speed , and the turn rate control ...
White = C free, gray = C obs. Configuration space for a rectangular translating robot (pictured red). White = C free, gray = C obs, where dark gray = the objects, light gray = configurations where the robot would touch an object or leave the workspace. Example of a valid path Example of an invalid path Example of a road map
The Multi Autonomous Ground-robotic International Challenge has teams of autonomous vehicles map a large dynamic urban environment, identify and track humans and avoid hostile objects. 2016: The Path following of autonomous mobile robot using passive RFID tags is a new method to follow the path using RFID tags. It is proved that the robot ...
Operational design domain (ODD) is a term for a particular operating context for an automated system, often used in the field of autonomous vehicles. The context is defined by a set of conditions, including environmental, geographical, time of day, and other conditions. For vehicles, traffic and roadway characteristics are included.
A self-driving car, also known as a autonomous car (AC), driverless car, robotaxi, robotic car or robo-car, [1] [2] [3] is a car that is capable of operating with reduced or no human input. [ 4 ] [ 5 ] Self-driving cars are responsible for all driving activities, such as perceiving the environment, monitoring important systems, and controlling ...
Nvidia Drive is a computer platform by Nvidia, aimed at providing autonomous car and driver assistance functionality powered by deep learning. [1] [2] The platform was introduced at the Consumer Electronics Show (CES) in Las Vegas in January 2015. [3] An enhanced version, the Drive PX 2 was introduced at CES a year later, in January 2016. [4]
A self-driving Uber car accident in 2018 is an example of autonomous vehicle accidents that are also listed among self-driving car fatalities. A report made by the National Transportation Safety Board (NTSB) showed that the self-driving Uber car was unable to identify the victim in a sufficient amount of time for the vehicle to slow down and ...