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 2001–2025 of 2605 papers

TitleStatusHype
Multi-Agent Reinforcement Learning for Channel Assignment and Power Allocation in Platoon-Based C-V2X Systems—0
Reactive motion planning with probabilistic safety guarantees—0
Motion Prediction on Self-driving Cars: A Review—0
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data—0
A Scenario-Based Development Framework for Autonomous Driving—0
SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment—0
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection—0
Learning Personalized Discretionary Lane-Change Initiation for Fully Autonomous Driving Based on Reinforcement Learning—0
Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data—0
Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles—0
Global Image Segmentation Process using Machine Learning algorithm & Convolution Neural Network method for Self- Driving Vehicles—0
A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge—0
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection—0
Trajectory Prediction using Equivariant Continuous Convolution—0
A Lane Merge Coordination Model for a V2X Scenario—0
Prediction-Based GNSS Spoofing Attack Detection for Autonomous Vehicles—0
Transportation Internet: Concepts, Models, and Architectures—0
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms—0
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion—0
Using Empirical Trajectory Data to Design Connected Autonomous Vehicle Controllers for Traffic Stabilization—0
A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment—0
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations—0
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign RecognitionCode0
Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS)—0
Show:102550
← PrevPage 81 of 105Next →

Benchmark Results

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