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 251–300 of 2605 papers

TitleStatusHype
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable ConceptsCode1
Reinforcement Learning Under Moral UncertaintyCode1
Reward Finetuning for Faster and More Accurate Unsupervised Object DiscoveryCode1
RGB-X Object Detection via Scene-Specific Fusion ModulesCode1
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless NetworksCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Density-invariant Features for Distant Point Cloud RegistrationCode1
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningCode1
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
A Spatio-Temporal Multilayer Perceptron for Gesture RecognitionCode1
A General Framework of Learning Multi-Vehicle Interaction Patterns from VideosCode1
Collaborative Motion Prediction via Neural Motion Message PassingCode1
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy TrafficCode1
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehiclesCode1
Counterfactual Multi-Agent Policy GradientsCode1
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR DataCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic FlowCode1
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous VehiclesCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Dynamic 3D Scene Analysis by Point Cloud AccumulationCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
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Benchmark Results

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