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 1426–1450 of 2605 papers

TitleStatusHype
A Robust Pedestrian Detection Approach for Autonomous Vehicles—0
Artificial Intelligence at the Edge—0
Artificial Intelligence in Software Testing : Impact, Problems, Challenges and Prospect—0
Artificial Intelligence in Traffic Systems—0
A Rule-Based Behaviour Planner for Autonomous Driving—0
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems—0
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning—0
A Scenario-Based Development Framework for Autonomous Driving—0
A Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
A sensor fusion system with thermal infrared camera and LiDAR for autonomous vehicles and deep learning based object detection—0
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?—0
A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge—0
Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection—0
Assessing Markov Property in Driving Behaviors: Insights from Statistical Tests—0
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles—0
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing—0
Assessing the safety benefits of CACC+ based coordination of connected and autonomous vehicle platoons in emergency braking scenarios—0
Assessment of System-Level Cyber Attack Vulnerability for Connected and Autonomous Vehicles Using Bayesian Networks—0
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control—0
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction—0
A Superalignment Framework in Autonomous Driving with Large Language Models—0
A Survey and Insights on Deployments of the Connected and Autonomous Vehicles in US—0
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis—0
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems—0
A Survey of Deep Learning Applications to Autonomous Vehicle Control—0
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Benchmark Results

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