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 1601–1625 of 2605 papers

TitleStatusHype
An Objective Method for Pedestrian Occlusion Level Classification—0
Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs—0
The Impact of Partial Occlusion on Pedestrian DetectabilityCode0
Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation—0
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles—0
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation—0
Multi-Agent Deep Reinforcement Learning in Vehicular OCC—0
Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles—0
Open vs Closed-ended questions in attitudinal surveys -- comparing, combining, and interpreting using natural language processing—0
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles—0
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes—0
Adversarial Plannning—0
Using 3D Shadows to Detect Object Hiding Attacks on Autonomous Vehicle Perception—0
Learning Eco-Driving Strategies at Signalized Intersections—0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles—0
4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks—0
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles—0
Learning Enriched Features for Fast Image Restoration and Enhancement—0
Integrated In-vehicle Monitoring System Using 3D Human Pose Estimation and Seat Belt Segmentation—0
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning—0
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization—0
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios—0
Optimal Lane-Free Crossing of CAVs through Intersections—0
MTANet: Multitask-Aware Network With Hierarchical Multimodal Fusion for RGB-T Urban Scene Understanding—0
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling—0
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Benchmark Results

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