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 401–425 of 2605 papers

TitleStatusHype
Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM ClassifierCode0
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented RealityCode0
Never trust, always verify : a roadmap for Trustworthy AI?Code0
Objective Bicycle Occlusion Level Classification using a Deformable Parts-Based ModelCode0
Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative PerceptionCode0
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous VehiclesCode0
Towards Effective Multi-Moving-Camera Tracking: A New Dataset and Lightweight Link ModelCode0
4D-ROLLS: 4D Radar Occupancy Learning via LiDAR SupervisionCode0
Naturalistic Driver Intention and Path Prediction using Recurrent Neural NetworksCode0
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile RobotsCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
ARC: Adversarially Robust Control Policies for Autonomous VehiclesCode0
Multi-Agent Pathfinding: Definitions, Variants, and BenchmarksCode0
Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape TemplatesCode0
A Safe Preference Learning Approach for Personalization with Applications to Autonomous VehiclesCode0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
Multi-Agent Imitation Learning for Driving SimulationCode0
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random FieldCode0
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution EnvironmentsCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
MCRL4OR: Multimodal Contrastive Representation Learning for Off-Road Environmental PerceptionCode0
Low-latency Perception in Off-Road Dynamical Low Visibility EnvironmentsCode0
M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR DataCode0
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Benchmark Results

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