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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 2605 papers

TitleStatusHype
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable EnvironmentsCode1
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous DrivingCode1
On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresCode1
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement LearningCode1
Semi-Supervised Learning for Visual Bird's Eye View Semantic SegmentationCode1
Understanding Hessian Alignment for Domain GeneralizationCode1
Fast Inference and Update of Probabilistic Density Estimation on Trajectory PredictionCode1
3DMOTFormer: Graph Transformer for Online 3D Multi-Object TrackingCode1
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction ModelsCode1
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' RiskinessCode1
VG-SSL: Benchmarking Self-supervised Representation Learning Approaches for Visual Geo-localizationCode1
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative PerceptionCode1
Risk-optimized Outlier Removal for Robust 3D Point Cloud ClassificationCode1
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving CarsCode1
Density-invariant Features for Distant Point Cloud RegistrationCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Radar-STDA: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of FMCW RadarsCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
LVLane: Deep Learning for Lane Detection and Classification in Challenging ConditionsCode1
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye ViewCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous DrivingCode1
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Benchmark Results

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