riyatorane/drivetwin

How riyatorane/drivetwin works

AdaptPath3D is a single-script MATLAB prototype for adaptive path planning and collision avoidance in simulated unstructured-road scenarios. The user starts or switches a scenario; the simulation senses nearby road users, predicts their motion, plans a path, applies safety and speed decisions, and follows the path while presenting live state, maps, and metrics. The README documents these capabilities, but the MATLAB source was not provided in the excerpts, so the component boundaries and links below reflect documented behavior rather than inspected function calls.

Main entry points: AdaptPath3D.m Simulation loop

Components 14

Simulation

Simulation loop AdaptPath3D.m
Road scenarios AdaptPath3D.m
Road and traffic AdaptPath3D.m
Range sensing AdaptPath3D.m
Motion prediction AdaptPath3D.m

Planning and safety

Lateral path planner AdaptPath3D.m
Clearance and TTC AdaptPath3D.m
Speed controller AdaptPath3D.m
Emergency braking AdaptPath3D.m
Path-following steering AdaptPath3D.m

Visualization and status

3D scene rendering AdaptPath3D.m
Live state and metrics AdaptPath3D.m
Risk and planning map AdaptPath3D.m

Other components

Driver / operator

Connections 19

Driver / operator → Simulation loop: runs README.md
Driver / operator → Road scenarios: selects README.md
Simulation loop → Road scenarios: runs README.md
Simulation loop → Road and traffic: simulates README.md
Simulation loop → Range sensing: uses README.md
Simulation loop → Motion prediction: uses README.md
Simulation loop → Lateral path planner: replans with README.md
Simulation loop → Clearance and TTC: checks README.md
Simulation loop → Speed controller: controls README.md
Simulation loop → Emergency braking: applies README.md
Simulation loop → Path-following steering: follows path with README.md
Simulation loop → 3D scene rendering: renders README.md
Simulation loop → Live state and metrics: updates README.md
Simulation loop → Risk and planning map: shows README.md
Range sensing → Motion prediction: informs README.md
Motion prediction → Lateral path planner: informs README.md
Lateral path planner → Clearance and TTC: checked by README.md
Clearance and TTC → Emergency braking: triggers README.md
Lateral path planner → Path-following steering: guides README.md

Drawn by GitDiagram on November 12, 2026 from the repository's file tree, README and source files. Read as Markdown ·

How riyatorane/drivetwin works

Main entry points: AdaptPath3D.m Simulation loop

Connections 19

Driver / operator → Simulation loop: runs README.md
Driver / operator → Road scenarios: selects README.md
Simulation loop → Road scenarios: runs README.md
Simulation loop → Road and traffic: simulates README.md
Simulation loop → Range sensing: uses README.md
Simulation loop → Motion prediction: uses README.md
Simulation loop → Lateral path planner: replans with README.md
Simulation loop → Clearance and TTC: checks README.md
Simulation loop → Speed controller: controls README.md
Simulation loop → Emergency braking: applies README.md
Simulation loop → Path-following steering: follows path with README.md
Simulation loop → 3D scene rendering: renders README.md
Simulation loop → Live state and metrics: updates README.md
Simulation loop → Risk and planning map: shows README.md
Range sensing → Motion prediction: informs README.md
Motion prediction → Lateral path planner: informs README.md
Lateral path planner → Clearance and TTC: checked by README.md
Clearance and TTC → Emergency braking: triggers README.md
Lateral path planner → Path-following steering: guides README.md

Drawn by GitDiagram on November 12, 2026 from the repository's file tree, README and source files. Read as Markdown ·