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

Showing 22012225 of 2605 papers

TitleStatusHype
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate0
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process0
Autonomous Vehicle Security: A Deep Dive into Threat Modeling0
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms0
Autonomous Vehicles for Ride-Hailing0
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)0
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data0
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice0
Collaboration Between the City and Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing0
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations0
Autonomy 2.0: The Quest for Economies of Scale0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation0
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability0
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset0
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving0
Behavior Identification and Prediction for a Probabilistic Risk Framework0
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning0
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles0
Behavior Planning of Autonomous Cars with Social Perception0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale0
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Benchmark Results

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