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 626–650 of 2605 papers

TitleStatusHype
JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for A Fully-Digital MIMO Joint Communication-RadarCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Fast Deep Stereo with 2D Convolutional Processing of Cost SignaturesCode0
Automotive Radar Data Acquisition using Object DetectionCode0
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random FieldsCode0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between AgentsCode0
Context-aware Multi-task Learning for Pedestrian Intent and Trajectory PredictionCode0
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic ScenariosCode0
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial ImpostersCode0
E-Scooter Rider Detection and Classification in Dense Urban EnvironmentsCode0
Agent-aware State Estimation in Autonomous VehiclesCode0
Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ ArchitectureCode0
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement LearningCode0
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A SurveyCode0
EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial RepresentationsCode0
Enhanced free space detection in multiple lanes based on single CNN with scene identificationCode0
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class ImbalanceCode0
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention MechanismCode0
End-to-end Learning of Image based Lane-Change DecisionCode0
Embedded real-time stereo estimation via Semi-Global Matching on the GPUCode0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPUCode0
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving CarsCode0
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Benchmark Results

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