TuSimple

Overview edit

Variants: TuSimple

Associated Benchmarks

This dataset is used in 1 benchmark:

• Lane Detection - Metrics: Accuracy, F1 score

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• Contrastive Learning for Lane Detection via cross-similarity (2023) -
• Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss (2023) -
• CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection (2023) -
• A Keypoint-based Global Association Network for Lane Detection (2022) -
• Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes (2022) -
• Lane detection with Position Embedding (2022) -
• CLRNet: Cross Layer Refinement Network for Lane Detection (2022) -
• Rethinking Efficient Lane Detection via Curve Modeling (2022) -
• Focus on Local: Detecting Lane Marker from Bottom Up via Key Point (2021) -
• CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution (2021) -
• LaneAF: Robust Multi-Lane Detection with Affinity Fields (2021) -
• End-to-end Lane Shape Prediction with Transformers (2020) -
• Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection (2020) -
• RESA: Recurrent Feature-Shift Aggregator for Lane Detection (2020) -
• Towards Lightweight Lane Detection by Optimizing Spatial Embedding (2020) -
• End-to-End Lane Marker Detection via Row-wise Classification (2020) -
• PolyLaneNet: Lane Estimation via Deep Polynomial Regression (2020) -
• Learning Lightweight Lane Detection CNNs by Self Attention Distillation (2019) -
• Lane Detection and Classification using Cascaded CNNs (2019) -
• Agnostic Lane Detection (2019) -