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

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Showing 651–700 of 2605 papers

TitleStatusHype
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)—0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?—0
Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets—0
Acceleration method for generating perception failure scenarios based on editing Markov process—0
Autonomous Vehicles for Ride-Hailing—0
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms—0
Active Learning of Driving Scenario Trajectories—0
Autonomous Vehicle Security: A Deep Dive into Threat Modeling—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Analysis and Control of Autonomous Mobility-on-Demand Systems—0
ADCNet: Learning from Raw Radar Data via Distillation—0
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward—0
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate—0
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation—0
Autonomous Vehicle Fleet Coordination With Deep Reinforcement Learning—0
Autonomous Vehicle Decision-Making Framework for Considering Malicious Behavior at Unsignalized Intersections—0
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets—0
A Dataset for Lane Instance Segmentation in Urban Environments—0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats—0
Autonomous Vehicle Convoy Control as a Differential Game—0
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation—0
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation—0
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets—0
Democratizing Reward Design for Personal and Representative Value-Alignment—0
A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions—0
Autonomous particles—0
A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction—0
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles—0
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation—0
Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control—0
A CASE STUDY ON OPTIMAL DEEP LEARNING MODEL FOR UAVS—0
Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention—0
Deep Reinforcement Learning for Shared Autonomous Vehicles (SAV) Fleet Management—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation—0
Deep Reinforcement Learning for Adverse Garage Scenario Generation—0
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction—0
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception—0
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study—0
DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles—0
Autonomous Driving without a Burden: View from Outside with Elevated LiDAR—0
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment—0
Deflating Dataset Bias Using Synthetic Data Augmentation—0
Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey—0
Deep Radar Waveform Design for Efficient Automotive Radar Sensing—0
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making—0
A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles—0
Deep Probability Estimation—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
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Benchmark Results

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