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 2126–2150 of 2605 papers

TitleStatusHype
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles—0
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path PredictionCode0
CRUDE: Calibrating Regression Uncertainty Distributions Empirically—0
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic—0
Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets—0
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research—0
High Precision Indoor Navigation for Autonomous Vehicles—0
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural NetworkCode0
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic—0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
Online Parameter Estimation for Human Driver Behavior Prediction—0
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
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion—0
Streaming Object Detection for 3-D Point Clouds—0
IO-VNBD: Inertial and Odometry Benchmark Dataset for Ground Vehicle Positioning—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
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
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Benchmark Results

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