AdvSce is a tool capable of generating safety-critical scenarios for testing autonomous driving systems. The tool introduces additional traffic participants that can perturb the behavior of the ego vehicle from existing scenarios. Existing scenario-generation methods usually require a predefined range of ...
We present ChatScene, a Large Language Model (LLM)-based agent that leverages the capabilities of LLMs to gener-ate safety-critical scenarios for autonomous vehicles. Given unstructured language instructions, the agent first generates textually described traffic scenarios using LLMs. These scenario des...
In this paper, we study this approach to safety-critical driving scenario generation using the CARLA simulator. We use a kinematic bicycle model as a proxy to the simulator's true dynamics and observe that gradients through this proxy model are sufficient for optimizing the background traffic ...
2.1. Safe critical scenario in AV Generating and testing safety–critical scenarios are crucial for autonomous driving testing. Wang et al. [11] proposed an adversarial framework designed to generate safety–critical scenarios for LiDAR-based autonomous driving systems. Hanselmann et al. [40] introdu...
Bridging Data-Driven and Knowledge-Driven Approaches for Safety-Critical Scenario Generation in Automated Vehicle Validation Automated driving vehicles~(ADV) promise to enhance driving efficiency and safety, yet they face intricate challenges in safety-critical scenarios. As a re... K Hao,L Liu,W Cu...
KING Scenario Generation For all of the generation scripts, first spin up a carla server in a separate shell: carla_server/CarlaUE4.sh --world-port=2000 -opengl Then run the following script for AIM-BEV generation: bash run_generation.sh ...
Scenario Analysis for the Safety Assessment of Nuclear Waste Repositories: A Critical Review 来自 国家科技图书文献中心 喜欢 0 阅读量: 44 作者:E Tosoni,A Salo,E Zio 摘要: A major challenge in scenario analysis for the safety assessment of nuclear waste repositories pertains to the comprehensiveness...
In Ref. [21], the authors mention five main challenges of current works in safety-critical scenario generation: • Fidelity—the accuracy and realism of the generated scenarios; • Efficiency—the need to increase the density of safety-critical scenarios while consider- ing computational ...
ranging from high-resource to low-resource. This leads us to the creation of the first multilingual jailbreak dataset called MultiJail. The prompt in this dataset can directly serve for the unintentional scenario, while we also simulate intentional scenario by combining the prompt with an English ...
The second critical component of data collection was manually counting traffic during peak hours. Tally sheets were used for this purpose, and only vehicles traveling through or diverging by using the on-ramp towards the freeway from the arterial were counted. The reason for going to the site ...