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 171–180 of 2605 papers

TitleStatusHype
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye ViewCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
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
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehiclesCode1
FollowNet: A Comprehensive Benchmark for Car-Following Behavior ModelingCode1
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding ApproachCode1
Show:102550
← PrevPage 18 of 261Next →

Benchmark Results

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