142 citations · 712 across the 76 of their papers we have counts for
8 papers · 1 filter
Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting +3
Data-driven simulators promise high data-efficiency for driving policy learning. When used for modelling interactions, this data-efficiency becomes a bottleneck: Small underlying d…
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski +5
Simulation has the potential to transform the development of robust algorithms for mobile agents deployed in safety-critical scenarios. However, the poor photorealism and lack of d…
Searching for Efficient Multi-Stage Vision Transformers
Yi-Lun Liao, Sertac Karaman, Vivienne Sze
Vision Transformer (ViT) demonstrates that Transformer for natural language processing can be applied to computer vision tasks and result in comparable performance to convolutional…
Multi-Modal Motion Planning Using Composite Pose Graph Optimization
L. Lao Beyer, N. Balabanska, E. Tal +1
In this paper, we present a motion planning framework for multi-modal vehicle dynamics. Our proposed algorithm employs transcription of the optimization objective function, vehicle…
Efficient and Robust LiDAR-Based End-to-End Navigation
Zhijian Liu, Alexander Amini, Sibo Zhu +3
Deep learning has been used to demonstrate end-to-end neural network learning for autonomous vehicle control from raw sensory input. While LiDAR sensors provide reliably accurate i…
Feedback from Pixels: Output Regulation via Learning-Based Scene View Synthesis
Murad Abu-Khalaf, Sertac Karaman, Daniela Rus
We propose a novel controller synthesis involving feedback from pixels, whereby the measurement is a high dimensional signal representing a pixelated image with Red-Green-Blue (RGB…