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 1271–1280 of 2605 papers

TitleStatusHype
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps—0
Analytical Safety Bounds for Trajectory Following Controllers in Autonomous Vehicles—0
Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control—0
Robust Self-Supervised Extrinsic Self-Calibration—0
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars—0
Detecting Out-of-distribution Objects Using Neuron Activation PatternsCode0
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach—0
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services—0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data—0
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving—0
Show:102550
← PrevPage 128 of 261Next →

Benchmark Results

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