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 2101–2125 of 2605 papers

TitleStatusHype
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research—0
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance ChangeCode1
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM ExtensionCode1
High Precision Indoor Navigation for Autonomous Vehicles—0
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural NetworkCode0
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNsCode1
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic—0
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
LGSVL Simulator: A High Fidelity Simulator for Autonomous DrivingCode2
Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation—0
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems—0
Online Parameter Estimation for Human Driver Behavior Prediction—0
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion—0
IO-VNBD: Inertial and Odometry Benchmark Dataset for Ground Vehicle Positioning—0
Streaming Object Detection for 3-D Point Clouds—0
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review—0
Deflating Dataset Bias Using Synthetic Data Augmentation—0
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban EnvironmentsCode1
ML-driven Malware that Targets AV Safety—0
Detecting Unsigned Physical Road Incidents from Driver-View Images—0
Distributed Learning and Inference with Compressed Images—0
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation—0
Road Quality Analysis Based on Cognitive Internet of Vehicles (CIoV)—0
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Benchmark Results

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