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The 4D/RCS is a hierarchical deliberative architecture, that "plans up to the subsystem level to compute plans for an autonomous vehicle driving over rough terrain. In this system, the world model contains a pre-computed dictionary of possible vehicle trajectories known as an ego-graph as well as information from the real-time sensor processing ...
Obstacle avoidance, in robotics, is a critical aspect of autonomous navigation and control systems. It is the capability of a robot or an autonomous system/machine to detect and circumvent obstacles in its path to reach a predefined destination. This technology plays a pivotal role in various fields, including industrial automation, self ...
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 ...
Spacecraft launch vehicles; Unmanned aerial vehicles; Auto-steering tractors; Autonomous underwater vehicle; Related examples are: Celestial navigation is a position fixing technique that was devised to help sailors cross the featureless oceans without having to rely on dead reckoning to enable them to strike land. Celestial navigation uses ...
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]
Motion planning, also path planning (also known as the navigation problem or the piano mover's problem) is a computational problem to find a sequence of valid configurations that moves the object from the source to destination.
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 ...
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.