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 1001–1050 of 2605 papers

TitleStatusHype
Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection—0
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps—0
DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System—0
SL1-Simplex: Safe Velocity Regulation of Self-Driving Vehicles in Dynamic and Unforeseen Environments—0
Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach—0
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments—0
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria—0
Bi-directional Loop Closure for Visual SLAM—0
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV *—0
Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM—0
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections—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
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories—0
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks—0
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs—0
FluidML: Fast and Memory Efficient Inference Optimization—0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection—0
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?—0
Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features—0
Dynamically Modulating Visual Place Recognition Sequence Length For Minimum Acceptable Performance Scenarios—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
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving—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
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study—0
Dual Formulation for Chance Constrained Stochastic Shortest Path with Application to Autonomous Vehicle Behavior Planning—0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems—0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving—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 Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving—0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning—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
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM—0
Benefits of V2V communication in connected and autonomous vehicles in the presence of delays in communicated signals—0
Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping—0
Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles—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
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data—0
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles—0
Show:102550
← PrevPage 21 of 53Next →

Benchmark Results

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