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 576–600 of 2605 papers

TitleStatusHype
Bi-directional Loop Closure for Visual SLAM—0
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios—0
A new platooning model for connected and autonomous vehicles to improve string stability—0
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?—0
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles—0
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters—0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map—0
Decentralized Optimization of Vehicle Route Planning -- A Cross-City Comparative Study—0
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles—0
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation—0
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving—0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems—0
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction—0
A New Era of Mobility: Exploring Digital Twin Applications in Autonomous Vehicular Systems—0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China—0
A New Adversarial Perspective for LiDAR-based 3D Object Detection—0
Benefits of V2V communication in connected and autonomous vehicles in the presence of delays in communicated signals—0
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators—0
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation—0
A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture—0
ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency—0
A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM—0
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Benchmark Results

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