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

Showing 19762000 of 2605 papers

TitleStatusHype
OneTrack-M: A multitask approach to transformer-based MOT models0
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction0
FuzzRisk: Online Collision Risk Estimation for Autonomous Vehicles based on Depth-Aware Object Detection via Fuzzy Inference0
Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services0
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR0
Online Parameter Estimation for Human Driver Behavior Prediction0
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments0
Online Robust MPC based Emergency Maneuvering System for Autonomous Vehicles0
On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment0
On the Benefits of Instance Decomposition in Video Prediction Models0
On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach0
On the Federated Learning Framework for Cooperative Perception0
On the Forward Invariance of Neural ODEs0
On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels0
On the Metrics for Evaluating Monocular Depth Estimation0
On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving0
On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles0
On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)0
On the Robustness of Segment Anything0
PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles0
On the utilization of Macroscopic Information for String Stability of a Vehicular Platoon0
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars0
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning0
Open vs Closed-ended questions in attitudinal surveys -- comparing, combining, and interpreting using natural language processing0
Open-World Panoptic Segmentation0
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Benchmark Results

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