Modified software files can introduce calculation errors, making your simulation results completely unreliable for engineering work.
The growing complexity of autonomous‑driving functions demands simulation environments that can faithfully reproduce the stochastic nature of real‑world traffic while providing a deterministic ground‑truth for performance evaluation. This paper introduces , a publicly released, high‑resolution, multi‑modal dataset that captures 1,200 km of urban, suburban, and highway driving under diverse weather, lighting, and traffic‑density conditions. TORRENT was collected using a fleet of instrumented production vehicles equipped with LiDAR, radar, stereo cameras, GNSS/IMU, and CAN‑bus logging. To enable rapid, reproducible testing, the raw recordings were processed into IPG CarMaker scenario scripts (XML + MATLAB/Simulink interface) that can be directly imported into the CarMaker environment.
Cracks often break core components of the software, leading to frequent crashes and lost progress.