Results 31 to 40 of about 7,145,619 (284)
Vehicle-based LIDAR for Lane Line Detection
Journal of Physics: Conference Series, 2023 Abstract A lane line detection method based on adaptive thresholding of raster map is proposed for assisting driving by fitting lane lines in the process of automatic driving in ports. Firstly, the original laser point cloud is divided into regions of interest to retain the point clouds containing lane lines as well as to remove ...
Hangyan Wang, Qinghua Liu, Zhenfei Liu
openaire +1 more source
Lane Detection Based on Instance Segmentation of BiSeNet V2 Backbone Network
Applied Artificial Intelligence, 2022 Most lane line detection algorithms still have room for improvement in detection accuracy, speed, and robustness. Meanwhile, these algorithms only test the performance indicators through the test set of the open-source dataset rather than deploying them ...
Sun Yang, Li Yunpeng, Liu Yu
doaj +1 more source
, 2022 reservedLane detection is a key feature of today’s modern intelligent vehicles and it is especially important for Advanced Driver Assitance systems. Lane detection task is in charge of identifying drivable zones on the road by detecting the lane markers ...
SAVAS, IREMSU
core
Learning Light Fields for Improved Lane Detection
IEEE Access, 2023 Robust lane detection is imperative for the realization of intelligent transportation. Recently, vision-based systems that employ deep convolution neural networks (CNNs) for lane detection have made considerable progress.
Muhamad Zeshan Alam +3 more
doaj +1 more source
Developing a computer vision based system for autonomous taxiing of aircraft
Aviation, 2023 Authors of this paper propose a computer vision based autonomous system for the taxiing of an aircraft in the real world. The system integrates both lane detection and collision detection and avoidance models.
Prashant Gaikwad +4 more
doaj +1 more source
Vision-Based Lane Line Detection System
International Journal of Mathematics and Computer Research, 2021 Since the 1990s, the rising key issue of the automobile industry is self-driving or driverless vehicles. Apparently, one of the most important challenges for smart self-driving cars comprises lane-detecting and lane-tracking capability to ensure safety and also decrease vehicle accidents for driver assistance systems.
Poorna Vishwanth +3 more
openaire +3 more sources
Pandar128 dataset for lane line detection
CoRRWe present Pandar128, the largest public dataset for lane line detection using a 128-beam LiDAR. It contains over 52,000 camera frames and 34,000 LiDAR scans, captured in diverse real-world conditions in Germany. The dataset includes full sensor calibration (intrinsics, extrinsics) and synchronized odometry, supporting tasks such as projection, fusion,
Filip Beránek +2 more
openaire +2 more sources
, 2022 Automatic vehicle detection has become more important in visual traffic surveillance systems and intelligent transportation in recent years. Most previous techniques for monitoring lane-line misbehavior rely on computer vision methods.
Mr. Sivakumar. T, Dr. L. Manjunatha Rao
core +1 more source
Combining Low-Light Scene Enhancement for Fast and Accurate Lane Detection
Sensors, 2023 Lane detection is a crucial task in the field of autonomous driving, as it enables vehicles to safely navigate on the road by interpreting the high-level semantics of traffic signs.
Changshuo Ke +3 more
doaj +1 more source
FEBS Letters, EarlyView.CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source