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 251–275 of 2605 papers

TitleStatusHype
Polarization-driven Semantic Segmentation via Efficient Attention-bridged FusionCode1
Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge ComputingCode1
Predicting Semantic Map Representations from Images using Pyramid Occupancy NetworksCode1
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF PriorsCode1
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
Counterfactual Multi-Agent Policy GradientsCode1
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR DataCode1
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehiclesCode1
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy TrafficCode1
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaCode1
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningCode1
A Spatio-Temporal Multilayer Perceptron for Gesture RecognitionCode1
A General Framework of Learning Multi-Vehicle Interaction Patterns from VideosCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Collaborative Motion Prediction via Neural Motion Message PassingCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
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Benchmark Results

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