May 27, 2024 � Simulating realistic interactions among traffic agents is crucial for efficiently validating the safety of autonomous driving systems.
May 27, 2024 � Simulating realistic interactions among traffic agents is crucial for efficiently validating the safety of autonomous driving systems.
Simulating realistic interactions among traffic agents is crucial for efficiently validating the safety of autonomous driving systems.
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction ... Simulating realistic interactions among traffic agents is crucial for�...
People also ask
What are the predictions for autonomous driving?
What is the driving simulator for autonomous driving?
What are the smart sensors for autonomous driving?
Which technologies are used in autonomous driving for target detection?
BehaviorGPT is a novel AI model for autonomous driving simulations, using a decoder-only, autoregressive architecture that simplifies design and improves�...
BehaviorGPT ranks first across several metrics on the Waymo Sim Agents Benchmark, demonstrating its exceptional performance in multi-agent and agent-map�...
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction. Zhou, Z., Hu, H., Chen, X., Wang, J., Guan, N., Wu, K., Li, Y., Huang, Y.
May 29, 2024 � BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction. https://t.co/tO0huYj04C.
May 27, 2024 � This paper introduces BehaviorGPT, a novel deep learning-based framework for simulating the behavior of autonomous agents in driving scenarios.
May 28, 2024 � BehaviorGPT empowers smart agent simulation in autonomous driving, enhancing performance and efficiency with its Next-Patch Prediction.