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

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Showing 1151–1175 of 2605 papers

TitleStatusHype
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning—0
Physical Adversarial Examples for Multi-Camera Systems—0
Lateral control for autonomous vehicles: A comparative evaluation—0
Optimising Human-AI Collaboration by Learning Convincing Explanations—0
Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar Data—0
Investigating Robustness in Cyber-Physical Systems: Specification-Centric Analysis in the face of System Deviations—0
Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approach—0
Trajectories and Platoon-forming Algorithm for Intersections with Heterogeneous Autonomous Traffic—0
Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference—0
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging EnvironmentsCode0
Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion—0
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving—0
From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration—0
Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms—0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning—0
Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Network—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
A Safe Preference Learning Approach for Personalization with Applications to Autonomous VehiclesCode0
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition—0
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control—0
Interactive Joint Planning for Autonomous Vehicles—0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving—0
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection—0
Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM ClassifierCode0
Data-driven Traffic Simulation: A Comprehensive Review—0
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Benchmark Results

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