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 2576–2600 of 2605 papers

TitleStatusHype
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial ExamplesCode0
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous DrivingCode0
E-Scooter Rider Detection and Classification in Dense Urban EnvironmentsCode0
Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating AlgorithmCode0
Speeding up Semantic Segmentation for Autonomous DrivingCode0
Forecasting Pedestrian Trajectory with Machine-Annotated Training DataCode0
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse WeatherCode0
Safety Verification for Neural Networks Based on Set-boundary AnalysisCode0
Backprop KF: Learning Discriminative Deterministic State EstimatorsCode0
Hybrid Reasoning Based on Large Language Models for Autonomous Car DrivingCode0
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to NightCode0
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous DrivingCode0
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained EnvironmentsCode0
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement LearningCode0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
How Do We Fail? Stress Testing Perception in Autonomous VehiclesCode0
Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle SafetyCode0
CROP: Certifying Robust Policies for Reinforcement Learning through Functional SmoothingCode0
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle RobustnessCode0
A V2X-based Privacy Preserving Federated Measuring and Learning SystemCode0
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention MechanismCode0
YouTube AV 50K: An Annotated Corpus for Comments in Autonomous VehiclesCode0
Quantifying Uncertainty in Motion Prediction with Variational Bayesian MixtureCode0
Vehicle Driving AssistantCode0
Crafting Adversarial Input Sequences for Recurrent Neural NetworksCode0
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Benchmark Results

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