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 101–150 of 2605 papers

TitleStatusHype
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle PlatooningCode1
Dynamic 3D Scene Analysis by Point Cloud AccumulationCode1
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving ScenariosCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed TrafficCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Adversarial Example Detection for DNN Models: A Review and Experimental ComparisonCode1
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data IntegrationCode1
Fast Inference and Update of Probabilistic Density Estimation on Trajectory PredictionCode1
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futuresCode1
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITSCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye CameraCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection SystemsCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic AccidentsCode1
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous VehiclesCode1
GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous VehiclesCode1
3DMOTFormer: Graph Transformer for Online 3D Multi-Object TrackingCode1
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic FlowCode1
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR DataCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Counterfactual Multi-Agent Policy GradientsCode1
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
Dolphins: Multimodal Language Model for DrivingCode1
Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy FeaturesCode1
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaCode1
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
Collaborative Motion Prediction via Neural Motion Message PassingCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy TrafficCode1
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud DataCode1
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Benchmark Results

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