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 251300 of 2605 papers

TitleStatusHype
HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with vision transformerCode1
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous DrivingCode1
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object DetectionCode1
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLOCode1
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place RecognitionCode1
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud DataCode1
Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String StabilityCode1
Personalized Autonomous Driving with Large Language Models: Field ExperimentsCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
LEAF: A Benchmark for Federated SettingsCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph ConstructionCode1
JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in CrowdsCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning MonitoringCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-SupervisionCode1
A Spatio-Temporal Multilayer Perceptron for Gesture RecognitionCode1
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
A General Framework of Learning Multi-Vehicle Interaction Patterns from VideosCode1
Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLACode1
Keep your Eyes on the Lane: Real-time Attention-guided Lane DetectionCode1
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
Interactive multi-modal motion planning with Branch Model Predictive ControlCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Automated Lane Change via Adaptive Interactive MPC: Human-in-the-Loop ExperimentsCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionCode1
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
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement LearningCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles SegmentationCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaCode1
Learning to Navigate Intersections with Unsupervised Driver Trait InferenceCode1
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry ConstraintsCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
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Benchmark Results

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