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 2476–2500 of 2605 papers

TitleStatusHype
Why model why? Assessing the strengths and limitations of LIMECode0
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel PriorCode0
Distillation as a Defense to Adversarial Perturbations against Deep Neural NetworksCode0
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving VehiclesCode0
PathGAN: Local Path Planning with Attentive Generative Adversarial NetworksCode0
Benchmarking Safety Monitors for Image Classifiers with Machine LearningCode0
FedRSU: Federated Learning for Scene Flow Estimation on Roadside UnitsCode0
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge IntelligenceCode0
Deterministic Iteratively Built KD-Tree with KNN Search for Exact ApplicationsCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for A Fully-Digital MIMO Joint Communication-RadarCode0
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate DiffusionCode0
PDFNet: Pointwise Dense Flow Network for Urban-Scene SegmentationCode0
Is attention to bounding boxes all you need for pedestrian action prediction?Code0
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object DetectionCode0
Benchmarking Image Perturbations for Testing Automated Driving Assistance SystemsCode0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning ComponentsCode0
Detecting Out-of-distribution Objects Using Neuron Activation PatternsCode0
A Framework for Multisensory Foresight for Embodied AgentsCode0
MonoPIC - A Monocular Low-Latency Pedestrian Intention Classification Framework for IoT Edges Using ID3 Modelled Decision TreesCode0
Interpretable Safety Validation for Autonomous VehiclesCode0
Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative DrivingCode0
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
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Benchmark Results

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