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Physics and Mathematics Fundamentals

Course: Self-Driving Cars: From Fundamentals to Advanced Autonomy

Fundamentals of Vehicle Kinematics in 2D

Kinematics describes the motion of vehicles without considering forces, focusing on position, velocity, and acceleration. In 2D space, we model vehicle motion on a flat plane using coordinates like $x$ (forward) and $y$ (lateral).

Position is the vehicle's location at time $t$, denoted as $\mathbf{r}(t) = (x(t), y(t))$. For example, a car starting at $(0, 0)$ moving straight at constant speed reaches $(10, 0)$ meters after 2 seconds.

Velocity is the rate of change of position: $\mathbf{v}(t) = \frac{d\mathbf{r}}{dt} = (\dot{x}(t), \dot{y}(t))$. Average velocity might be $\mathbf{v}_{avg} = \frac{\Delta \mathbf{r}}{\Delta t}$. In self-driving cars, velocity helps predict if a vehicle will stop at a light.

Acceleration is the rate of change of velocity: $\mathbf{a}(t) = \frac{d\mathbf{v}}{dt} = (\ddot{x}(t), \ddot{y}(t))$. For a car accelerating from 0 to 60 km/h in 5 seconds, $a = \frac{\Delta v}{\Delta t} \approx 3.33$ m/s².

Display math for linear motion: $$x(t) = x_0 + v_0 t + \frac{1}{2} a t^2$$

This equation models a self-driving car merging onto a highway.

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