commonroad

FISS & FISS+: Fast Iterative Search and Sampling trajectory planners for autonomous driving (with FOP baselines). C++17 core, Python, ROS 2 / ROS 1, Lanelet2, CARLA, MPC

Moved to SS47816/fiss_planner (FISS Planner): FISS, FISS+ and FOP in one C++17 core. pip install fiss-planner

Toolbox for Map Conversion and Scenario Creation for Autonomous Vehicles.

Tool to read, write, and visualize CommonRoad scenarios and base for other tools from the CommonRoad framework.

Interface between CommonRoad and the traffic simulator CARLA.

Deep-learning model for selection of high-level corridors in motion planning

published static obstacles from a commonraod file as autoware object list

A trajectory planning framework integrating risk-reachable sets and safe reinforcement learning for enhanced autonomous driving safety.

Developed an autonomous agent (a car) capable of safely executing maneuvers in highway environments surrounded by other vehicles. The scenarios were based on CommonRoad benchmarks, requiring the agent to operate effectively in a partially observable environment. The project focused on ensuring safe navigation and decision-making.

Multi-vehicle autonomous valet parking with CARLA, CommonRoad, occupancy-grid conflict resolution, Hybrid A*, and V2I-style ZeroMQ coordination.

C++20 port of the CommonRoad vehicle models; derivatives tested against the Python reference