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 51–75 of 2605 papers

TitleStatusHype
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language ModelsCode2
Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous VehiclesCode2
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion PredictionCode2
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of VehiclesCode2
trajdata: A Unified Interface to Multiple Human Trajectory DatasetsCode2
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera FusionCode2
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision TransformerCode2
VBR: A Vision Benchmark in RomeCode2
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam VideosCode2
Distilling Diffusion Models to Efficient 3D LiDAR Scene CompletionCode2
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario AnalysisCode2
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous DrivingCode2
nuScenes: A multimodal dataset for autonomous drivingCode2
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' RiskinessCode1
Counterfactual Multi-Agent Policy GradientsCode1
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehiclesCode1
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data IntegrationCode1
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Benchmark Results

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