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
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction—0
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving—0
Stackelberg Punishment and Bully-Proofing Autonomous Vehicles—0
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections—0
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems—0
A statistical framework for efficient out of distribution detection in deep neural networks—0
Statistical Verification of Autonomous Systems using Surrogate Models and Conformal Inference—0
S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction—0
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement—0
Streaming Object Detection for 3-D Point Clouds—0
String Stability of a Vehicular Platoon with the use of Macroscopic Information—0
Sum-of-Squares Data-driven Robustly Stabilizing and Contracting Controller Synthesis for Polynomial Nonlinear Systems—0
survAIval: Survival Analysis with the Eyes of AI—0
Survey and Systematization of 3D Object Detection Models and Methods—0
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges—0
Survey of Bayesian Networks Applications to Intelligent Autonomous Vehicles—0
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment—0
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles—0
Survey on LiDAR Perception in Adverse Weather Conditions—0
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge—0
Switched Vector Field-based Guidance for General Reference Path Following in Planar Environment—0
SydneyScapes: Image Segmentation for Australian Environments—0
Symmetry Defense Against CNN Adversarial Perturbation Attacks—0
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation—0
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles—0
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Benchmark Results

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