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 351–400 of 2605 papers

TitleStatusHype
Collaborative Motion Prediction via Neural Motion Message PassingCode1
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLOCode1
MotionLM: Multi-Agent Motion Forecasting as Language ModelingCode1
MSSPlace: Multi-Sensor Place Recognition with Visual and Text SemanticsCode1
Multi-Agent Routing Value Iteration NetworkCode1
Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention NetworkCode1
Multimodal Object Detection via Probabilistic EnsemblingCode1
Multimodal Virtual Point 3D DetectionCode1
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic EnvironmentsCode1
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under UncertaintyCode1
Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehiclesCode1
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous VehiclesCode1
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud DataCode1
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehiclesCode1
Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous VehiclesCode1
On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
Optimal Robust Network Design: Formulations and Algorithms for Maximizing Algebraic ConnectivityCode1
Efficient Reinforcement Learning via Decoupling Exploration and UtilizationCode1
PanoFlow: Learning 360° Optical Flow for Surrounding Temporal UnderstandingCode1
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