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// Copyright 2024 TIER IV, Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include "nebula_common/nebula_common.hpp"
#include "nebula_decoders/nebula_decoders_robosense/decoders/angle_corrector_calibration_based.hpp"
#include "nebula_decoders/nebula_decoders_robosense/decoders/robosense_packet.hpp"
#include <cstdint>
#include <limits>
#include <map>
#include <memory>
#include <string>
#include <vector>
namespace nebula::drivers
{
template <typename PacketT, typename InfoPacketT>
class RobosenseSensor
{
public:
typedef PacketT packet_t;
typedef InfoPacketT info_t;
typedef class AngleCorrectorCalibrationBased<PacketT::n_channels, PacketT::degree_subdivisions>
angle_corrector_t;
RobosenseSensor() = default;
virtual ~RobosenseSensor() = default;
virtual int get_packet_relative_point_time_offset(
uint32_t block_id, uint32_t channel_id,
const std::shared_ptr<const RobosenseSensorConfiguration> & sensor_configuration) = 0;
int get_earliest_point_time_offset_for_block(
uint32_t start_block_id,
const std::shared_ptr<const RobosenseSensorConfiguration> & sensor_configuration)
{
const auto n_returns = robosense_packet::get_n_returns(sensor_configuration->return_mode);
int min_offset_ns = std::numeric_limits<int>::max();
for (uint32_t block_id = start_block_id; block_id < start_block_id + n_returns; ++block_id) {
for (uint32_t channel_id = 0; channel_id < PacketT::n_channels; ++channel_id) {
min_offset_ns = std::min(
min_offset_ns,
get_packet_relative_point_time_offset(block_id, channel_id, sensor_configuration));
}
}
return min_offset_ns;
}
static bool is_duplicate(
uint32_t return_idx,
const std::vector<const typename PacketT::body_t::block_t::unit_t *> & return_units)
{
for (unsigned int i = 0; i < return_units.size(); ++i) {
if (i == return_idx) {
continue;
}
if (
return_units[return_idx]->distance.value() == return_units[i]->distance.value() &&
return_units[return_idx]->reflectivity.value() == return_units[i]->reflectivity.value()) {
return true;
}
}
return false;
}
virtual ReturnType get_return_type(
ReturnMode return_mode, unsigned int return_idx,
const std::vector<const typename PacketT::body_t::block_t::unit_t *> & return_units)
{
if (is_duplicate(return_idx, return_units)) {
return ReturnType::IDENTICAL;
}
switch (return_mode) {
case ReturnMode::SINGLE_FIRST:
return ReturnType::FIRST;
case ReturnMode::SINGLE_LAST:
return ReturnType::LAST;
case ReturnMode::SINGLE_STRONGEST:
return ReturnType::STRONGEST;
case ReturnMode::DUAL:
if (return_idx == 0) {
return ReturnType::STRONGEST;
} else {
return ReturnType::LAST;
}
default:
return ReturnType::UNKNOWN;
}
}
virtual ReturnMode get_return_mode(const info_t & info_packet) = 0;
virtual RobosenseCalibrationConfiguration get_sensor_calibration(const info_t & info_packet) = 0;
virtual bool get_sync_status(const info_t & info_packet) = 0;
virtual std::map<std::string, std::string> get_sensor_info(const info_t & info_packet) = 0;
};
} // namespace nebula::drivers