system architecture of automated vehicles
sense
localization
perception
human attention model
plan
prediction
trajectory planning
check & act
safety check
trajectory control
kinetic vehicle models
Bicycle Model
Two-Track Model
no wheel track
CoG on road surface
no pitch and roll
linear tire model
wheel track available
CoG not on road surface
pitch and roll
dynamic load
route
highest level data
shows where to go from a to b
path
multiple positions to which car should move
trajectory
path with time/velocity information (explicit, implicit)
vehicle reference point
front axle
CoG
Rear axle
vehicle reference point planning
calculate optimum point in which the distance to the side in curves is the same on both sides
further front: smaller needed lane width for right turn
further back: smaller nlw for left turn
circle radius reference point
determine radius around point approximation
trajectory planning methods
space configuration
sampling based decomposition
connected cells decomposition
lattice representation
pathfinding algorithms
Dijkstra
Rapidly exploring random tree
attractive and repulsive forces
artificial potential field
AI
Logic-based-approach
Approximate Reasoning
Fault tree analysis
top down failure analysis
understand how a system can fail
using boolean logic operators
FTA Elements
Top/intermediate events
Basic events
undeveloped events
AND gate
OR gate
Last changeda year ago