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 601–625 of 2605 papers

TitleStatusHype
FormulaZero: Distributionally Robust Online Adaptation via Offline Population SynthesisCode0
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle SettingsCode0
Adversarial Feature Map Pruning for BackdoorCode0
Focal Loss in 3D Object DetectionCode0
Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light DetectorsCode0
Cooperation-Aware Reinforcement Learning for Merging in Dense TrafficCode0
Finding the Gap: Neuromorphic Motion Vision in Cluttered EnvironmentsCode0
FedRSU: Federated Learning for Scene Flow Estimation on Roadside UnitsCode0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
FIR-based Future Trajectory Prediction in Nighttime Autonomous DrivingCode0
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based NetworksCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement LearningCode0
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving CarsCode0
Fast Deep Stereo with 2D Convolutional Processing of Cost SignaturesCode0
CROP: Certifying Robust Policies for Reinforcement Learning through Functional SmoothingCode0
Automotive Radar Data Acquisition using Object DetectionCode0
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random FieldsCode0
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between AgentsCode0
FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera imagesCode0
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous DrivingCode0
Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ ArchitectureCode0
Context-aware Multi-task Learning for Pedestrian Intent and Trajectory PredictionCode0
E-Scooter Rider Detection and Classification in Dense Urban EnvironmentsCode0
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial ImpostersCode0
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Benchmark Results

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