SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1151–1175 of 2605 papers

TitleStatusHype
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation—0
Image-Guided Depth Sampling and Reconstruction—0
Imitative Planning using Conditional Normalizing Flow—0
Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles—0
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles—0
HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative—0
Cooperative Control in Eco-Driving of Electric Connected and Autonomous Vehicles in an Un-Signalized Urban Intersection—0
How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception—0
Cooperative Decision-Making in Shared Spaces: Making Urban Traffic Safer through Human-Machine Cooperation—0
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
How many autonomous vehicles are required to stabilize traffic flow?—0
How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples—0
How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World—0
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving—0
How to deal with glare for improved perception of Autonomous Vehicles—0
How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM—0
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies—0
How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction—0
Cooperative Multi-Modal Localization in Connected and Autonomous Vehicles—0
Improving benchmarks for autonomous vehicles testing using synthetically generated images—0
Human Action Anticipation: A Survey—0
Human-AI Interaction Design Standards—0
Highway Discretionary Lane-change Decision and Control Using Model Predictive Control—0
Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy—0
A Survey of FPGA-Based Robotic Computing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified