SLAV-Sim: A Framework for Self-Learning Autonomous Vehicle Simulation.

ABSTRACT: With the advent of autonomous vehicles, sensors and algorithm testing have become crucial parts of the autonomous vehicle development cycle. Having access to real-world sensors and vehicles is a dream for researchers and small-scale original equipment manufacturers (OEMs) due to the software and hardware development life-cycle duration and high costs. Therefore, simulator-based virtual testing has gained traction over the years as the preferred testing method due to its low cost, efficiency, and effectiveness in executing a wide range of testing scenarios. Companies like ANSYS and NVIDIA have come up with robust simulators, and open-source simulators such as CARLA have also populated the market. However, there is a lack of lightweight and simple simulators catering to specific test cases.

SUBMITTER: Crewe J 

PROVIDER: S-EPMC10611232 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature