Oct 14, 2021 · High-quality simulation-based testing requires physically accurate computer simulations, detailed and photo-realistic maps, and systematic ...
PDF | On Aug 1, 2021, Vuong Nguyen and others published SALVO: Automated Generation of Diversified Tests for Self-driving Cars from Existing Maps | Find, ...
We propose SALVO a fully automated approach to identify quantifiably diverse and critical driving scenarios that can be instantiated on existing high- ...
May 31, 2021 · The current implementation of SALVO takes existing maps in OpenDrive format [15], generates abstract driving scenarios involving intersections, ...
SALVO: Automated Generation of Diversified Tests for Self-driving Cars from Existing Maps. Vuong Nguyen, Stefan Huber, Alessio Gambi. University of Passau.
An example of an abstract driving scenario generated by SALVO.. SALVO: Automated Generation of Diversified Tests for Self-driving Cars from Existing Maps.
... Autonomous Driving AI Test Challenge Group 108 pp. 118-127. SALVO: Automated Generation of Diversified Tests for Self-driving Cars from Existing Maps pp. 128 ...
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This is the official channel for the DRiVERSITY project which aims to test self-driving and autonomous cars by means of procedurally generated diversity.
Jul 12, 2024 · SALVO: Automated Generation of Diversified Tests for Self-driving Cars from Existing Maps. In International Conference on Artificial ...
DoppelTest is introduced, a test generation approach for ADSes that utilizes a genetic algorithm to discover bug-revealing violations by generating ...