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 376–400 of 2605 papers

TitleStatusHype
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving EnvironmentsCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNsCode1
Pedestrian Intention Prediction: A Multi-task PerspectiveCode1
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous DrivingCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous VehiclesCode1
Radar-STDA: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of FMCW RadarsCode1
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
(Re)^2H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement LearningCode1
Real Time Semantic Segmentation of High Resolution Automotive LiDAR ScansCode1
ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language ModelsCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
RefAV: Towards Planning-Centric Scenario MiningCode1
Reliability in Semantic Segmentation: Can We Use Synthetic Data?Code1
Reward Finetuning for Faster and More Accurate Unsupervised Object DiscoveryCode1
Proprioception Is All You Need: Terrain Classification for Boreal ForestsCode1
Risk-optimized Outlier Removal for Robust 3D Point Cloud ClassificationCode1
A Robust Pedestrian Detection Approach for Autonomous Vehicles—0
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems—0
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Benchmark Results

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