Autonomous Vehicles
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Benchmarks
ApolloCar3D
Most implemented
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
nuScenes: A multimodal dataset for autonomous driving
Flow: A Modular Learning Framework for Mixed Autonomy Traffic
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
LEAF: A Benchmark for Federated Settings
Papers
Rethinking Language's Role in Efficient VLA for Autonomous Vehicles: Toward Smarter, Trustworthy Driving
Vision-Language-Action (VLA) models are reshaping autonomous driving (AD) by unifying perception, reasoning, and control through language, enabling semantic grounding, interpretable decisions, and better long-tail genera…
Autonomous VehiclesAutonomous DrivingMarine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact
The marine science community increasingly relies on Marine Autonomous Vehicles (MAVs) to collect the critical environmental data required to understand global ocean systems. However, as these operations scale, manually r…
Autonomous VehiclesVision-centric generative AI models: A software-hardware perspective
Vision generative artificial intelligence (AI) has emerged as one of the most rapidly advancing areas of deep learning. The explosion of multimodal models has made them widely associated with text-to-image applications r…
Autonomous VehiclesMIVIFI: Bridging Perspective and Fisheye Domains for Training Multi-View Fisheye Image Generation Models
Achieving 360° coverage is critical for the visual perception systems of autonomous vehicles. Fisheye cameras offer a cost-effective solution by enabling full surround coverage with as few as two sensors. However, existi…
Autonomous VehiclesImage GenerationRoboRacer Arena: Scaling High-Fidelity Autonomous Racing in Isaac Sim
RoboRacer offers a standardized platform for research using 1:10-scale autonomous vehicles, but the variety of available tracks hinders the process of acquiring policies. Although existing occupancy-grid simulators allow…
Autonomous VehiclesMulti-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous Driving
Autonomous vehicles require robust perception and decision-making capabilities to operate in diverse and unseen scenarios. While reinforcement learning and rule-based methods can provide effective control and safety mech…
Reinforcement LearningAutonomous VehiclesAutonomous Driving