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 1676–1700 of 2605 papers

TitleStatusHype
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes—0
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development—0
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Active Learning of Driving Scenario Trajectories—0
Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming—0
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator—0
Improving Freeway Merging Efficiency via Flow-Level Coordination of Connected and Autonomous Vehicles—0
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging—0
Learning off-road maneuver plans for autonomous vehicles—0
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
Agent-aware State Estimation in Autonomous VehiclesCode0
Understanding the merging behavior patterns and evolutionary mechanism at freeway on-ramps—0
Towards Data-Driven Synthesis of Autonomous Vehicle Safety Concepts—0
Neural Network Based Model Predictive Control for an Autonomous Vehicle—0
Human Trajectory Prediction via Counterfactual AnalysisCode1
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behaviorCode0
Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features—0
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward AlgorithmCode1
CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images—0
AA3DNet: Attention Augmented Real Time 3D Object Detection—0
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning—0
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control—0
mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation using mmWave Radars—0
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Benchmark Results

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