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

Showing 101150 of 2605 papers

TitleStatusHype
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle PlatooningCode1
Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed TrafficCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
Collaborative Motion Prediction via Neural Motion Message PassingCode1
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless NetworksCode1
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving ScenariosCode1
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward AlgorithmCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
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
Counterfactual Multi-Agent Policy GradientsCode1
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Ford Multi-AV Seasonal DatasetCode1
ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging EnvironmentsCode1
AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection SystemsCode1
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' RiskinessCode1
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic AccidentsCode1
DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic FlowCode1
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
3DMOTFormer: Graph Transformer for Online 3D Multi-Object TrackingCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
Enhanced Laser-Scan Matching with Online Error Estimation for Highway and Tunnel DrivingCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
End-to-end Lane Shape Prediction with TransformersCode1
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven VehiclesCode1
Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy FeaturesCode1
Dynamic 3D Scene Analysis by Point Cloud AccumulationCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained AutoencoderCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
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
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning ArchitectureCode1
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Benchmark Results

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