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 2401–2425 of 2605 papers

TitleStatusHype
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving—0
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse WeatherCode0
DeepFault: Fault Localization for Deep Neural Networks—0
Sparse and noisy LiDAR completion with RGB guidance anduncertaintyCode0
Sparse and noisy LiDAR completion with RGB guidance and uncertaintyCode0
Vulnerable road user detection: state-of-the-art and open challenges—0
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial ExamplesCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Adaptive Stress Testing for Autonomous Vehicles—0
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded CampusCode0
A Real-Time Optimal Eco-driving for Autonomous Vehicles Crossing Multiple Signalized Intersections—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
RED-Attack: Resource Efficient Decision based Attack for Machine LearningCode0
When is it right and good for an intelligent autonomous vehicle to take over control (and hand it back)?—0
Survey of Bayesian Networks Applications to Intelligent Autonomous Vehicles—0
Effectiveness Assessment of Cyber-Physical Systems—0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset—0
Learning Generalizable Physical Dynamics of 3D Rigid Objects—0
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data—0
Closing the gap towards end-to-end autonomous vehicle system—0
Parallelized Interactive Machine Learning on Autonomous Vehicles—0
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks—0
Conversational Intent Understanding for Passengers in Autonomous Vehicles—0
Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous VehiclesCode2
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
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Benchmark Results

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