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 1211–1220 of 2605 papers

TitleStatusHype
High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving—0
CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query—0
Coverage Path Planning for Thermal Interface Materials—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
Improved Generalizability of CNN Based Lane Detection in Challenging Weather Using Adaptive Preprocessing Parameter Tuning—0
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection—0
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning—0
Improvements of Motion Estimation and Coding using Neural Networks—0
Hierarchical Road Topology Learning for Urban Map-less Driving—0
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation—0
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Benchmark Results

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