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

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Showing 1061–1070 of 2605 papers

TitleStatusHype
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques—0
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles—0
Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges—0
Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous DrivingCode1
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement LearningCode1
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers—0
Impact of Different Desired Velocity Profiles and Controller Gains on Convoy Driveability of Cooperative Adaptive Cruise Control Operated Platoons—0
SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections—0
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Benchmark Results

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