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The test track features level 2-mile (3.2 km) straightaways. Vehicle Dynamics Area: 50-acre (20-hectare) asphalt pad, with an acceleration loop at each end, is a multipurpose facility for vehicle dynamic testing, durability testing, brake testing, performance testing, product demonstrations, and driver
Trajectory optimization is the process of designing a trajectory that minimizes (or maximizes) some measure of performance while satisfying a set of constraints. Generally speaking, trajectory optimization is a technique for computing an open-loop solution to an optimal control problem. It is often used for systems where computing the full ...
Waymo's deep-learning architecture VectorNet predicts vehicle trajectories in complex traffic scenarios. It uses a graph neural network to model the interactions between vehicles and has demonstrated state-of-the-art performance on several benchmark datasets for trajectory prediction. [94]
Navigation refers to the determination, at a given time, of the vehicle's location and velocity (the "state vector") as well as its attitude. [citation needed] Control refers to the manipulation of the forces, by way of steering controls, thrusters, etc., needed to execute guidance commands while maintaining vehicle stability. [citation needed]
Tracked vehicles spread the ground pressure exerted on the ground by the weight of the vehicle across the whole vehicle length, reducing the ground pressure per surface area and preventing a vehicle from sinking in soft soil. However, conventional dual-track vehicles can steer only by differential steering. Doing so applies friction on the ...
Continuous track or tracked treads are a system of vehicle propulsion used in tracked vehicles, running on a continuous band of treads or track plates driven by two or more wheels. The large surface area of the tracks distributes the weight of the vehicle better than steel or rubber tyres on an equivalent vehicle, enabling continuous tracked ...
Real-Time Path Planning is a term used in robotics that consists of motion planning methods that can adapt to real time changes in the environment. This includes everything from primitive algorithms that stop a robot when it approaches an obstacle to more complex algorithms that continuously takes in information from the surroundings and creates a plan to avoid obstacles.
In the subject area of control theory, an internal model is a process that simulates the response of the system in order to estimate the outcome of a system disturbance. The internal model principle was first articulated in 1976 by B. A. Francis and W. M. Wonham [ 1 ] as an explicit formulation of the Conant and Ashby good regulator theorem. [ 2 ]